Namespace aggregating classification operations on images. More...

Classes
class	IPSDKIPLClassificationException
	Exception class for library IPSDKIPLClassification. More...

class	KernelKMeansAssignImgLvl1
	Level 1 algorithm: assignment part of Kernel based KMeans clustering algorithm. More...

class	KernelKMeansAssignImgLvl2
	Level 2 algorithm: assignment part of Kernel based KMeans clustering algorithm. More...

class	KernelKMeansAssignImgLvl3
	Level 3 algorithm: assignment part of Kernel based KMeans clustering algorithm. More...

class	KernelKMeansImgLvl1
	Level 1 algorithm: Kernel KMeans clustering algorithm. More...

struct	KernelKMeansResults
	Structure allowing to encaspulate image of classes and coordinates of clusters centroids resulting from the application of the K-means algorithm. More...

class	KMeansAssignImgLvl1
	Level 1 algorithm: Assigns pixels of an input image to clusters given clusters centroids. More...

class	KMeansAssignImgLvl2
	Level 2 algorithm: Assigns pixels of an input image to clusters given clusters centroids. More...

class	KMeansAssignImgLvl3
	Level 3 algorithm: Assigns pixels of an input image to clusters given clusters centroids. More...

struct	KMeansAssignResults

class	KMeansComputeCentersLvl1
	Level 1 algorithm: Compute clusters centroids given an input image and the image of classes. More...

class	KMeansComputeCentersLvl2
	Level 2 algorithm: Compute clusters centroids given an input image and the image of classes. More...

class	KMeansComputeCentersLvl3
	Level 3 algorithm: Compute clusters centroids given an input image and the image of classes. More...

class	KMeansComputeCompactnessLvl1
	Level 1 algorithm: Compute compactness given an input image of classes and clusters centroids. More...

class	KMeansComputeCompactnessLvl2
	Level 2 algorithm: Compute compactness given an input image of classes and clusters centroids. More...

class	KMeansComputeCompactnessLvl3
	Level 3 algorithm: Compute compactness given an input image of classes and clusters centroids. More...

class	KMeansImgLvl1
	See K-means algorithm for a complete algorithm description. More...

class	KMeansPosterizeImgLvl1
	Level 1 algorithm: Posterize an image using the results from k-means algorithm. More...

class	KMeansPosterizeImgLvl2
	Level 2 algorithm: Posterize an image using the results from k-means algorithm. More...

class	KMeansPosterizeImgLvl3
	Level 3 algorithm: Posterize an image using the results from k-means algorithm. More...

class	KMeansPPClusterInitLvl1
	Level 1 algorithm: Initializes the clusters for K-Mean classification. More...

struct	KMeansResults
	Structure allowing to encaspulate image of classes, coordinates of centers of clusters and compactness resulting from the application of the K-means algorithm. More...

class	PCAReductionImgLvl1
	Level 1 algorithm: Applies PCA to a sequence image to reduce its dimensionality. More...

struct	PCAReductionResults
	Structure allowing to encaspulate the result of a PCA image reduction. More...

Enumerations
enum	eIPSDKIPLClassificationMessage { eKernelKMeansImgReturnTypeChanged }
	Enumerate describing messages. More...

enum	eOutputInitializerMessage { eNullInputAttribute }

enum	eProcessorMessage { eKMeansAssignImgLvl1ToolTipId, eKMeansAssignImgLvl2ToolTipId, eKMeansAssignImgLvl3ToolTipId, eKMeansCentersRandomInitLvl1ToolTipId, eKMeansComputeCentersLvl1ToolTipId, eKMeansComputeCentersLvl2ToolTipId, eKMeansComputeCentersLvl3ToolTipId, eKMeansComputeCompactnessLvl1ToolTipId, eKMeansComputeCompactnessLvl2ToolTipId, eKMeansComputeCompactnessLvl3ToolTipId, eKMeansImgLvl1ToolTipId, eKMeansPPClusterInitLvl1ToolTipId, eKMeansPPClusterInitNonRandomLvl2ToolTipId, eKMeansPPClusterInitNonRandomLvl3ToolTipId, eKMeansPPClusterInitRandomFirstPassLvl3ToolTipId, eKMeansPPClusterInitRandomLvl2ToolTipId, eKMeansPPClusterInitRandomSecondPassLvl3ToolTipId, eKMeansPosterizeImgLvl1ToolTipId, eKMeansPosterizeImgLvl2ToolTipId, eKMeansPosterizeImgLvl3ToolTipId, eKernelKMeansAssignImgLvl1ToolTipId, eKernelKMeansAssignImgLvl2ToolTipId, eKernelKMeansAssignImgLvl3ToolTipId, eKernelKMeansImgLvl1ToolTipId, eLocateMostEccentricClusterEltLvl1ToolTipId, eLocateMostEccentricClusterEltLvl2ToolTipId, eLocateMostEccentricClusterEltLvl3ToolTipId, ePCADecompositionLvl1ToolTipId, ePCADecompositionLvl2ToolTipId, ePCADecompositionLvl3ToolTipId, ePCAProjectionLvl1ToolTipId, ePCAProjectionLvl2ToolTipId, ePCAProjectionLvl3ToolTipId, ePCAReductionImgLvl1ToolTipId, ePCAReductionImgLvl2ToolTipId, ePCAReductionImgLvl3ToolTipId }

enum	eRuleMessage { eClustersCentersCollMatchImgSizeEvalMsg, eClustersCentersCollMatchImgSizeFormalMsg, eExpectedEltInOutSeqLowerEqualInImgSizeCSizeTProductEvaluated, eExpectedEltInOutSeqLowerEqualInImgSizeCSizeTProductFormal, eExpiredAttributeWeakPtr, eImg1SizeTLowerEqualImg2SizeCSizeTProductEvalMsg, eImg1SizeTLowerEqualImg2SizeCSizeTProductFormalMsg, eNullInputAttribute, eRuleFailed, eRuleNotInit, eRuleSuccessful }

Functions
IPSDKIPLCLASSIFICATION_API const std::string &	getIPSDKIPLClassificationLoggerName ()
	Recovery of logger name associated to library.

IPSDKIPLCLASSIFICATION_API log4cplus::Logger &	getIPSDKIPLClassificationLogger ()
	Recovery of logger associated to library.

IPSDKIPLCLASSIFICATION_API const ipsdk::LogMessageManager &	getIPSDKIPLClassificationLogMessageManager ()
	Recovery of message manager associated to library.


IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr	outputKernelKMeans (const ImageAttributeConstPtr &pInputAttribute, const boost::shared_ptr< const attr::InNbClusters > &pInNbClustersAttribute)
	function allowing to create a Kernel KMeans output image initializer

IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr	outputKernelKMeans (const ImageAttributeConstPtr &pInputAttribute, const boost::shared_ptr< const attr::InKKMeansCentroids > &pInKKMeansCentroidsAttribute)
	function allowing to create a Kernel KMeans output image initializer


IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr	outputKMeans (const ImageAttributeConstPtr &pInputAttribute, const boost::shared_ptr< const attr::InNbClusters > &pNbClustersAttribute)

IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr	outputKMeans (const ImageAttributePtr &pOutClassImgAttribute, const ImageAttributeConstPtr &pInputAttribute, const boost::shared_ptr< const attr::InNbClusters > &pNbClustersAttribute)

IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr	outputKMeans (const ImageAttributeConstPtr &pInputAttribute, const boost::shared_ptr< const attr::InClustersCenters > &pClustersPptiesCollAttribute)


IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr	outputPCADecomposition (const ImageAttributePtr &pOutImgAttribute, const ImageAttributeConstPtr &pInputAttribute, ipUInt64 nbEltsInOutputSequence)


IPSDKIPLCLASSIFICATION_API image::ImagePtr	kernelKMeansAssignImg (const image::ImageConstPtr &pInImg, const attr::KKMeansCentroidsConstPtr &pInKKMeansCentroids)
	wrapper function for assignment part of Kernel based KMeans clustering algorithm More...

IPSDKIPLCLASSIFICATION_API void	kernelKMeansAssignImg (const image::ImageConstPtr &pInImg, const attr::KKMeansCentroidsConstPtr &pInKKMeansCentroids, const image::ImagePtr &pOutClassImg)
	wrapper function for assignment part of Kernel based KMeans clustering algorithm More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KernelKMeansAssignImgLvl1 >	kernelKMeansAssignImg_async (const image::ImageConstPtr &pInImg, const attr::KKMeansCentroidsConstPtr &pInKKMeansCentroids)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KernelKMeansAssignImgLvl1 >	kernelKMeansAssignImg_async (const image::ImageConstPtr &pInImg, const attr::KKMeansCentroidsConstPtr &pInKKMeansCentroids, const image::ImagePtr &pOutClassImg)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API image::ImagePtr	getAsyncProcessorOutput (boost::shared_ptr< KernelKMeansAssignImgLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API KernelKMeansResults	kernelKMeansImg (const image::ImageConstPtr &pInImg, const ipUInt32 nbClusters, const ipUInt32 nbSamples)
	wrapper function for Kernel KMeans clustering algorithm More...

IPSDKIPLCLASSIFICATION_API void	kernelKMeansImg (const image::ImageConstPtr &pInImg, const ipUInt32 nbClusters, const ipUInt32 nbSamples, const ipUInt32 nbAttempts, const attr::KernelKMeansParamsConstPtr &pKernelKMeansParams, const image::ImagePtr &pOutClassImg, const attr::KKMeansCentroidsPtr &pOutKKMeansCentroids)
	wrapper function for Kernel KMeans clustering algorithm More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KernelKMeansImgLvl1 >	kernelKMeansImg_async (const image::ImageConstPtr &pInImg, const ipUInt32 nbClusters, const ipUInt32 nbSamples)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KernelKMeansImgLvl1 >	kernelKMeansImg_async (const image::ImageConstPtr &pInImg, const ipUInt32 nbClusters, const ipUInt32 nbSamples, const ipUInt32 nbAttempts, const attr::KernelKMeansParamsConstPtr &pKernelKMeansParams, const image::ImagePtr &pOutClassImg, const attr::KKMeansCentroidsPtr &pOutKKMeansCentroids)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API KernelKMeansResults	getAsyncProcessorOutput (boost::shared_ptr< KernelKMeansImgLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API image::ImagePtr	kMeansAssignImg (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	wrapper function for Assigns pixels of an input image to clusters given clusters centroids More...

IPSDKIPLCLASSIFICATION_API image::ImagePtr	kMeansAssignImg (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	wrapper function for Assigns pixels of an input image to clusters given clusters centroids More...

IPSDKIPLCLASSIFICATION_API void	kMeansAssignImg (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters, const ipsdk::image::ImagePtr &pOutClassImg)
	wrapper function for Assigns pixels of an input image to clusters given clusters centroids More...

IPSDKIPLCLASSIFICATION_API void	kMeansAssignImg (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters, const ipsdk::image::ImagePtr &pOutClassImg)
	wrapper function for Assigns pixels of an input image to clusters given clusters centroids More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansAssignImgLvl1 >	kMeansAssignImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansAssignImgLvl1 >	kMeansAssignImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansAssignImgLvl1 >	kMeansAssignImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters, const ipsdk::image::ImagePtr &pOutClassImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansAssignImgLvl1 >	kMeansAssignImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters, const ipsdk::image::ImagePtr &pOutClassImg)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API image::ImagePtr	getAsyncProcessorOutput (boost::shared_ptr< KMeansAssignImgLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	kMeansComputeCenters (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg)
	wrapper function for Compute clusters centroids given an input image and the image of classes More...

IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	kMeansComputeCenters (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg)
	wrapper function for Compute clusters centroids given an input image and the image of classes More...

IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	kMeansComputeCenters (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipUInt32 nbClusters)
	wrapper function for Compute clusters centroids given an input image and the image of classes More...

IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	kMeansComputeCenters (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipUInt32 nbClusters)
	wrapper function for Compute clusters centroids given an input image and the image of classes More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansComputeCentersLvl1 >	kMeansComputeCenters_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansComputeCentersLvl1 >	kMeansComputeCenters_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansComputeCentersLvl1 >	kMeansComputeCenters_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipUInt32 nbClusters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansComputeCentersLvl1 >	kMeansComputeCenters_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipUInt32 nbClusters)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	getAsyncProcessorOutput (boost::shared_ptr< KMeansComputeCentersLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API ipsdk::ipReal64	kMeansComputeCompactness (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	wrapper function for Compute compactness given an input image of classes and clusters centroids More...

IPSDKIPLCLASSIFICATION_API ipsdk::ipReal64	kMeansComputeCompactness (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	wrapper function for Compute compactness given an input image of classes and clusters centroids More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansComputeCompactnessLvl1 >	kMeansComputeCompactness_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansComputeCompactnessLvl1 >	kMeansComputeCompactness_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pInClustersCenters)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API ipsdk::ipReal64	getAsyncProcessorOutput (boost::shared_ptr< KMeansComputeCompactnessLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API KMeansResults	kMeansImg (const ipsdk::image::ImageConstPtr &pInImg, const ipUInt32 nbClusters)
	wrapper function for classifies pixels of an image using k-means algorithm More...

IPSDKIPLCLASSIFICATION_API KMeansResults	kMeansImg (const ipsdk::image::ImageConstPtr &pInImg, const ipUInt32 nbClusters, const ipUInt32 nbAttempts, const ipUInt32 nbMaxIterPerAttempt, const ipReal64 centersShiftTol, const ipsdk::image::ImagePtr &pOutClassImg)
	wrapper function for classifies pixels of an image using k-means algorithm More...


IPSDKIPLCLASSIFICATION_API KMeansResults	kMeansImg (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipUInt32 nbClusters)
	wrapper function for classifies pixels of an image using k-means algorithm using a mask More...

IPSDKIPLCLASSIFICATION_API KMeansResults	kMeansImg (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipUInt32 nbClusters, const ipUInt32 nbAttempts, const ipUInt32 nbMaxIterPerAttempt, const ipReal64 centersShiftTol, const ipsdk::image::ImagePtr &pOutClassImg)
	wrapper function for classifies pixels of an image using k-means algorithm using a mask More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansImgLvl1 >	kMeansImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipUInt32 nbClusters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansImgLvl1 >	kMeansImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipUInt32 nbClusters, const ipUInt32 nbAttempts, const ipUInt32 nbMaxIterPerAttempt, const ipReal64 centersShiftTol, const ipsdk::image::ImagePtr &pOutClassImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansImgLvl1 >	kMeansImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipUInt32 nbClusters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansImgLvl1 >	kMeansImg_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipUInt32 nbClusters, const ipUInt32 nbAttempts, const ipUInt32 nbMaxIterPerAttempt, const ipReal64 centersShiftTol, const ipsdk::image::ImagePtr &pOutClassImg)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API KMeansResults	getAsyncProcessorOutput (boost::shared_ptr< KMeansImgLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API image::ImagePtr	kMeansPosterizeImg (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters)
	wrapper function for Posterize an image using the results from k-means algorithm More...

IPSDKIPLCLASSIFICATION_API image::ImagePtr	kMeansPosterizeImg (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters)
	wrapper function for Posterize an image using the results from k-means algorithm More...

IPSDKIPLCLASSIFICATION_API void	kMeansPosterizeImg (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters, const image::ImagePtr &pOutImg)
	wrapper function for Posterize an image using the results from k-means algorithm More...

IPSDKIPLCLASSIFICATION_API void	kMeansPosterizeImg (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters, const image::ImagePtr &pOutImg)
	wrapper function for Posterize an image using the results from k-means algorithm More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPosterizeImgLvl1 >	kMeansPosterizeImg_async (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPosterizeImgLvl1 >	kMeansPosterizeImg_async (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPosterizeImgLvl1 >	kMeansPosterizeImg_async (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters, const image::ImagePtr &pOutImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPosterizeImgLvl1 >	kMeansPosterizeImg_async (const image::ImageConstPtr &pInImg, const image::ImageConstPtr &pClassImg, const ipsdk::image::ImageConstPtr &pMaskImg, const ipsdk::imaproc::attr::ClustersCentersConstPtr &pClustersCenters, const image::ImagePtr &pOutImg)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API image::ImagePtr	getAsyncProcessorOutput (boost::shared_ptr< KMeansPosterizeImgLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	kMeansPPClusterInit (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::ipUInt32 inNbClusters)
	wrapper function for Initializes the clusters for K-Mean classification The algorithm used is K-Mean++ and is based on random cluster selection More...

IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	kMeansPPClusterInit (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::ipUInt32 inNbClusters)
	wrapper function for Initializes the clusters for K-Mean classification The algorithm used is K-Mean++ and is based on random cluster selection More...


IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	nonRandomKMeansPPClusterInit (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::ipUInt32 inNbClusters)
	wrapper function for Initializes the clusters for K-Mean classification The algorithm used a non-random version of the K-Mean++ algorithm More...

IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	nonRandomKMeansPPClusterInit (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::ipUInt32 inNbClusters)
	wrapper function for Initializes the clusters for K-Mean classification The algorithm used a non-random version of the K-Mean++ algorithm More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPPClusterInitLvl1 >	kMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPPClusterInitLvl1 >	kMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPPClusterInitLvl1 >	nonRandomKMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPPClusterInitLvl1 >	nonRandomKMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	getAsyncProcessorOutput (boost::shared_ptr< KMeansPPClusterInitLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API PCAReductionResults	pcaReductionImg (const ipsdk::image::ImageConstPtr &pInSeqImg)
	wrapper function for reduction of the dimensionality of a sequence image using PCA More...

IPSDKIPLCLASSIFICATION_API PCAReductionResults	pcaReductionImg (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::imaproc::attr::PCAReductionParamsConstPtr &pParams)
	wrapper function for reduction of the dimensionality of a sequence image using PCA More...

IPSDKIPLCLASSIFICATION_API PCAReductionResults	pcaReductionImg (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::image::ImagePtr &pOutImg)
	wrapper function for reduction of the dimensionality of a sequence image using PCA More...


IPSDKIPLCLASSIFICATION_API PCAReductionResults	pcaReductionMaskImg (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg)
	wrapper function for reduction of the dimensionality of a sequence image using PCA and using a mask More...

IPSDKIPLCLASSIFICATION_API PCAReductionResults	pcaReductionMaskImg (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::imaproc::attr::PCAReductionParamsConstPtr &pParams, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg)
	wrapper function for reduction of the dimensionality of a sequence image using PCA and using a mask More...

IPSDKIPLCLASSIFICATION_API PCAReductionResults	pcaReductionMaskImg (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::image::ImagePtr &pOutImg)
	wrapper function for reduction of the dimensionality of a sequence image using PCA and using a mask More...


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< PCAReductionImgLvl1 >	pcaReductionImg_async (const ipsdk::image::ImageConstPtr &pInSeqImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< PCAReductionImgLvl1 >	pcaReductionImg_async (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::imaproc::attr::PCAReductionParamsConstPtr &pParams)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< PCAReductionImgLvl1 >	pcaReductionImg_async (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::image::ImagePtr &pOutImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< PCAReductionImgLvl1 >	pcaReductionMaskImg_async (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< PCAReductionImgLvl1 >	pcaReductionMaskImg_async (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::imaproc::attr::PCAReductionParamsConstPtr &pParams, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg)
	asynchronous wrappers

IPSDKIPLCLASSIFICATION_API boost::shared_ptr< PCAReductionImgLvl1 >	pcaReductionMaskImg_async (const ipsdk::image::ImageConstPtr &pInSeqImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::image::ImagePtr &pOutImg)
	asynchronous wrappers


IPSDKIPLCLASSIFICATION_API PCAReductionResults	getAsyncProcessorOutput (boost::shared_ptr< PCAReductionImgLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor


IPSDKIPLCLASSIFICATION_API CustomCheckedImagePropertyPtr	matchKernelKMeansClassImg (const ImageAttributeConstPtr &pInHomogeneousImgAttribute, const boost::shared_ptr< const attr::InNbClusters > &pInNbClustersAttribute)
	function allowing to check that output class image matches input image and expected number of clusters requirements

IPSDKIPLCLASSIFICATION_API CustomCheckedImagePropertyPtr	matchKernelKMeansClassImg (const ImageAttributeConstPtr &pInHomogeneousImgAttribute, const boost::shared_ptr< const attr::InKKMeansCentroids > &pInKKMeansCentroidsAttribute)
	function allowing to check that output class image matches input image and expected number of clusters requirements


IPSDKIPLCLASSIFICATION_API boost::shared_ptr< processor::BaseNodeCollRule >	clustersCentersCollMatchImgSize (const boost::shared_ptr< const attr::InClustersCenters > &pClustersCentersAttribute, const ImageAttributeConstPtr &pImgAttribute)


IPSDKIPLCLASSIFICATION_API CustomCheckedImagePropertyPtr	allowedClassImgBuffersFromNbClusters (const boost::shared_ptr< const attr::InNbClusters > &pInNbClustersAttribute)

IPSDKIPLCLASSIFICATION_API CustomCheckedImagePropertyPtr	allowedClassImgBuffersFromNbClusters (const boost::shared_ptr< const attr::InClustersCenters > &pInClustersPptiesCollAttribute)

Detailed Description

Namespace aggregating classification operations on images.

Enumeration Type Documentation

◆ eIPSDKIPLClassificationMessage

enum ipsdk::imaproc::classif::eIPSDKIPLClassificationMessage

Enumerate describing messages.

Note: This enumerate is associated to a message map

See also: IPSDK_Message_Map

Enumerator
eKernelKMeansImgReturnTypeChanged	[KMeansImg] The data type returned by this function has changed and now returns a KMeansResults (3 results)

◆ eOutputInitializerMessage

enum ipsdk::imaproc::classif::eOutputInitializerMessage

Enumerator
eNullInputAttribute	Input attribute should not be null.

◆ eProcessorMessage

enum ipsdk::imaproc::classif::eProcessorMessage

Enumerator
eKMeansAssignImgLvl1ToolTipId	Level 1 algorithm: Assigns pixels of an input image to clusters given clusters centroids.
eKMeansAssignImgLvl2ToolTipId	Level 2 algorithm: Assigns pixels of an input image to clusters given clusters centroids.
eKMeansAssignImgLvl3ToolTipId	Level 3 algorithm: Assigns pixels of an input image to clusters given clusters centroids.
eKMeansCentersRandomInitLvl1ToolTipId	Level 1 algorithm: generates the expected number of clusters centers for the initialization of the k-means algorithm, using a random sampling method.
eKMeansComputeCentersLvl1ToolTipId	Level 1 algorithm: Compute clusters centroids given an input image and the image of classes.
eKMeansComputeCentersLvl2ToolTipId	Level 2 algorithm: Compute clusters centroids given an input image and the image of classes.
eKMeansComputeCentersLvl3ToolTipId	Level 3 algorithm: Compute clusters centroids given an input image and the image of classes.
eKMeansComputeCompactnessLvl1ToolTipId	Level 1 algorithm: Compute compactness given an input image of classes and clusters centroids.
eKMeansComputeCompactnessLvl2ToolTipId	Level 2 algorithm: Compute compactness given an input image of classes and clusters centroids.
eKMeansComputeCompactnessLvl3ToolTipId	Level 3 algorithm: Compute compactness given an input image of classes and clusters centroids.
eKMeansImgLvl1ToolTipId	Level 1 algorithm: classifies pixels of an image using k-means algorithm.
eKMeansPPClusterInitLvl1ToolTipId	Level 1 algorithm: Initializes the clusters for K-Mean classification.
eKMeansPPClusterInitNonRandomLvl2ToolTipId	Level 2 algorithm: Initializes the clusters for non random K-Mean classification.
eKMeansPPClusterInitNonRandomLvl3ToolTipId	Level 3 algorithm: Initializes the clusters for non random K-Mean classification.
eKMeansPPClusterInitRandomFirstPassLvl3ToolTipId	Level 3 algorithm: Initializes the clusters for random K-Mean classification : Distance map calculation.
eKMeansPPClusterInitRandomLvl2ToolTipId	Level 2 algorithm: Initializes the clusters for random K-Mean classification.
eKMeansPPClusterInitRandomSecondPassLvl3ToolTipId	Level 3 algorithm: Initializes the clusters for random K-Mean classification : Cumulated distance map calculation.
eKMeansPosterizeImgLvl1ToolTipId	Level 1 algorithm: Posterize an image using the results from k-means algorithm.
eKMeansPosterizeImgLvl2ToolTipId	Level 2 algorithm: Posterize an image using the results from k-means algorithm.
eKMeansPosterizeImgLvl3ToolTipId	Level 3 algorithm: Posterize an image using the results from k-means algorithm.
eKernelKMeansAssignImgLvl1ToolTipId	Level 1 algorithm: assignment part of Kernel based KMeans clustering algorithm.
eKernelKMeansAssignImgLvl2ToolTipId	Level 2 algorithm: assignment part of Kernel based KMeans clustering algorithm.
eKernelKMeansAssignImgLvl3ToolTipId	Level 3 algorithm: assignment part of Kernel based KMeans clustering algorithm.
eKernelKMeansImgLvl1ToolTipId	Level 1 algorithm: Kernel KMeans clustering algorithm.
eLocateMostEccentricClusterEltLvl1ToolTipId	Level 1 algorithm: Locate the element in a cluster that is the farthest from the center.
eLocateMostEccentricClusterEltLvl2ToolTipId	Level 2 algorithm: Locate the element in a cluster that is the farthest from the center.
eLocateMostEccentricClusterEltLvl3ToolTipId	Level 3 algorithm: Locate the element in a cluster that is the farthest from the center.
ePCADecompositionLvl1ToolTipId	Level 1 algorithm: Compute the eigenvectors and eigenvalues within the framework of PCA.
ePCADecompositionLvl2ToolTipId	Level 2 algorithm: Compute the eigenvectors and eigenvalues within the framework of PCA.
ePCADecompositionLvl3ToolTipId	Level 3 algorithm: Compute the eigenvectors and eigenvalues within the framework of PCA.
ePCAProjectionLvl1ToolTipId	Level 1 algorithm: Project vectors describes by the pixels of a sequence image along given direction, within the framework of PCA.
ePCAProjectionLvl2ToolTipId	Level 2 algorithm: Project vectors describes by the pixels of a sequence image along given direction, within the framework of PCA.
ePCAProjectionLvl3ToolTipId	Level 3 algorithm: Project vectors describes by the pixels of a sequence image along given direction, within the framework of PCA.
ePCAReductionImgLvl1ToolTipId	Level 1 algorithm: Applies PCA to a sequence image to reduce its dimensionality.
ePCAReductionImgLvl2ToolTipId	Level 2 algorithm: Applies PCA to a sequence image to reduce its dimensionality.
ePCAReductionImgLvl3ToolTipId	Level 3 algorithm: Applies PCA to a sequence image to reduce its dimensionality.

◆ eRuleMessage

enum ipsdk::imaproc::classif::eRuleMessage

Enumerator
eClustersCentersCollMatchImgSizeEvalMsg	Dimension of elements in clusters centers collection (d for element #d) matches imgSizeC()imgSizeT() (dd);.
eClustersCentersCollMatchImgSizeFormalMsg	Dimension of elements in clusters centers collection matches imgSizeC()*imgSizeT();.
eExpectedEltInOutSeqLowerEqualInImgSizeCSizeTProductEvaluated	expected nb. of elements in output sequence s[d] is lower than or equal to image s sizeCsizeT[dd]");
eExpectedEltInOutSeqLowerEqualInImgSizeCSizeTProductFormal	expected nb. of elements in output sequence s is lower than or equal to image s sizeC*sizeT");
eExpiredAttributeWeakPtr	Attribute weak pointer has expired, can't get it.
eImg1SizeTLowerEqualImg2SizeCSizeTProductEvalMsg	Image s[s] size t (d) is lower than or equal to image s[s] size c * size t (d*d)
eImg1SizeTLowerEqualImg2SizeCSizeTProductFormalMsg	Image s size t is lower than or equal to image s size c * size t.
eNullInputAttribute	Input attribute should not be null.
eRuleFailed	Failed.
eRuleNotInit	Initialize rule before trying to use its data.
eRuleSuccessful	Successful.

Function Documentation

◆ outputKMeans() [1/3]

IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr ipsdk::imaproc::classif::outputKMeans	(	const ImageAttributeConstPtr &	pInputAttribute,
		const boost::shared_ptr< const attr::InNbClusters > &	pNbClustersAttribute
	)

function allowing to create a k-means output image initializer

◆ outputKMeans() [2/3]

IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr ipsdk::imaproc::classif::outputKMeans	(	const ImageAttributePtr &	pOutClassImgAttribute,
		const ImageAttributeConstPtr &	pInputAttribute,
		const boost::shared_ptr< const attr::InNbClusters > &	pNbClustersAttribute
	)

function allowing to create a k-means output image initializer

◆ outputKMeans() [3/3]

IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr ipsdk::imaproc::classif::outputKMeans	(	const ImageAttributeConstPtr &	pInputAttribute,
		const boost::shared_ptr< const attr::InClustersCenters > &	pClustersPptiesCollAttribute
	)

function allowing to create a k-means output image initializer

◆ outputPCADecomposition()

IPSDKIPLCLASSIFICATION_API CustomImageInfoPtr ipsdk::imaproc::classif::outputPCADecomposition	(	const ImageAttributePtr &	pOutImgAttribute,
		const ImageAttributeConstPtr &	pInputAttribute,
		ipUInt64	nbEltsInOutputSequence
	)

function allowing to create a k-means output image initializer

◆ clustersCentersCollMatchImgSize()

IPSDKIPLCLASSIFICATION_API boost::shared_ptr<processor::BaseNodeCollRule> ipsdk::imaproc::classif::clustersCentersCollMatchImgSize	(	const boost::shared_ptr< const attr::InClustersCenters > &	pClustersCentersAttribute,
		const ImageAttributeConstPtr &	pImgAttribute
	)

functions allowing to define dimension of each cluster center given the input image

◆ allowedClassImgBuffersFromNbClusters() [1/2]

IPSDKIPLCLASSIFICATION_API CustomCheckedImagePropertyPtr ipsdk::imaproc::classif::allowedClassImgBuffersFromNbClusters ( const boost::shared_ptr< const attr::InNbClusters > & pInNbClustersAttribute )

function allowing to check that output class image buffer type matches expected number of clusters

◆ allowedClassImgBuffersFromNbClusters() [2/2]

IPSDKIPLCLASSIFICATION_API CustomCheckedImagePropertyPtr ipsdk::imaproc::classif::allowedClassImgBuffersFromNbClusters ( const boost::shared_ptr< const attr::InClustersCenters > & pInClustersPptiesCollAttribute )

function allowing to check that output class image buffer type matches expected number of clusters

Classes

Enumerations

Functions

Detailed Description

Enumeration Type Documentation

◆ eIPSDKIPLClassificationMessage

◆ eOutputInitializerMessage

◆ eProcessorMessage

◆ eRuleMessage

Function Documentation

◆ outputKMeans() [1/3]

◆ outputKMeans() [2/3]

◆ outputKMeans() [3/3]

◆ outputPCADecomposition()

◆ clustersCentersCollMatchImgSize()

◆ allowedClassImgBuffersFromNbClusters() [1/2]

◆ allowedClassImgBuffersFromNbClusters() [2/2]