KMeansPPClusterInit.h File Reference

Wrapper functions for Initializes the clusters for K-Mean classification. More...

#include <IPSDKIPL/IPSDKIPLClassification/IPSDKIPLClassificationExports.h>
#include <IPSDKImage/Image/ImageTypes.h>
#include <IPSDKIPL/IPSDKIPLAttributes/DataItem/ClustersCenters.h>

Go to the source code of this file.

Namespaces
	ipsdk::imaproc::classif
	Namespace aggregating classification operations on images.

Functions
IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	ipsdk::imaproc::classif::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	ipsdk::imaproc::classif::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	ipsdk::imaproc::classif::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	ipsdk::imaproc::classif::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 >	ipsdk::imaproc::classif::kMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers
IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPPClusterInitLvl1 >	ipsdk::imaproc::classif::kMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers
IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPPClusterInitLvl1 >	ipsdk::imaproc::classif::nonRandomKMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers
IPSDKIPLCLASSIFICATION_API boost::shared_ptr< KMeansPPClusterInitLvl1 >	ipsdk::imaproc::classif::nonRandomKMeansPPClusterInit_async (const ipsdk::image::ImageConstPtr &pInImg, const ipsdk::image::ImageConstPtr &pInOptSingleGreyMaskImg, const ipsdk::ipUInt32 inNbClusters)
	asynchronous wrappers
IPSDKIPLCLASSIFICATION_API attr::ClustersCentersPtr	ipsdk::imaproc::classif::getAsyncProcessorOutput (boost::shared_ptr< KMeansPPClusterInitLvl1 > pProcessor)
	function to retrieve the result of an asynchronous processor

Detailed Description

Wrapper functions for Initializes the clusters for K-Mean classification.

Author

R. Abbal

Date

2017/01/04

Copyright

2017 Reactiv'IP, all right reserved.