15 #ifndef __IPSDKIPLCLASSIFICATION_PROCESSORLOGMESSAGES_H__ 16 #define __IPSDKIPLCLASSIFICATION_PROCESSORLOGMESSAGES_H__ 78 #endif // __IPSDKIPLCLASSIFICATION_PROCESSORLOGMESSAGES_H__ Level 2 algorithm: Compute clusters centroids given an input image and the image of classes...
Definition: ProcessorLogMessages.h:46
Level 2 algorithm: Applies PCA to a sequence image to reduce its dimensionality.
Definition: ProcessorLogMessages.h:104
Level 1 algorithm: Applies PCA to a sequence image to reduce its dimensionality.
Definition: ProcessorLogMessages.h:102
Level 3 algorithm: assignment part of Kernel based KMeans clustering algorithm.
Definition: ProcessorLogMessages.h:80
Level 3 algorithm: Compute compactness given an input image of classes and clusters centroids...
Definition: ProcessorLogMessages.h:54
Level 1 algorithm: Posterize an image using the results from k-means algorithm.
Definition: ProcessorLogMessages.h:70
Level 2 algorithm: assignment part of Kernel based KMeans clustering algorithm.
Definition: ProcessorLogMessages.h:78
Level 2 algorithm: Assigns pixels of an input image to clusters given clusters centroids.
Definition: ProcessorLogMessages.h:38
Level 3 algorithm: Initializes the clusters for random K-Mean classification : Distance map calculati...
Definition: ProcessorLogMessages.h:64
Level 3 algorithm: Locate the element in a cluster that is the farthest from the center.
Definition: ProcessorLogMessages.h:88
#define DECLARE_LOG_MESSAGE_MAP(libraryName, enumTypeStr, enumSeq)
Level 1 algorithm: Locate the element in a cluster that is the farthest from the center.
Definition: ProcessorLogMessages.h:84
Level 1 algorithm: classifies pixels of an image using k-means algorithm.
Definition: ProcessorLogMessages.h:56
Level 2 algorithm: Posterize an image using the results from k-means algorithm.
Definition: ProcessorLogMessages.h:72
Level 3 algorithm: Initializes the clusters for non random K-Mean classification. ...
Definition: ProcessorLogMessages.h:62
Level 2 algorithm: Locate the element in a cluster that is the farthest from the center.
Definition: ProcessorLogMessages.h:86
Level 2 algorithm: Initializes the clusters for non random K-Mean classification. ...
Definition: ProcessorLogMessages.h:60
Definition of import/export macro for library.
Level 3 algorithm: Posterize an image using the results from k-means algorithm.
Definition: ProcessorLogMessages.h:74
Level 1 algorithm: Compute the eigenvectors and eigenvalues within the framework of PCA...
Definition: ProcessorLogMessages.h:90
Level 3 algorithm: Assigns pixels of an input image to clusters given clusters centroids.
Definition: ProcessorLogMessages.h:40
Level 1 algorithm: Assigns pixels of an input image to clusters given clusters centroids.
Definition: ProcessorLogMessages.h:36
Level 1 algorithm: Project vectors describes by the pixels of a sequence image along given direction...
Definition: ProcessorLogMessages.h:96
Level 2 algorithm: Initializes the clusters for random K-Mean classification.
Definition: ProcessorLogMessages.h:66
eProcessorMessage
Enumerate describing messages.
Level 2 algorithm: Compute compactness given an input image of classes and clusters centroids...
Definition: ProcessorLogMessages.h:52
Level 3 algorithm: Project vectors describes by the pixels of a sequence image along given direction...
Definition: ProcessorLogMessages.h:100
Level 1 algorithm: assignment part of Kernel based KMeans clustering algorithm.
Definition: ProcessorLogMessages.h:76
Level 3 algorithm: Initializes the clusters for random K-Mean classification : Cumulated distance map...
Definition: ProcessorLogMessages.h:68
Level 3 algorithm: Applies PCA to a sequence image to reduce its dimensionality.
Definition: ProcessorLogMessages.h:106
Level 2 algorithm: Compute the eigenvectors and eigenvalues within the framework of PCA...
Definition: ProcessorLogMessages.h:92
Level 1 algorithm: Kernel KMeans clustering algorithm.
Definition: ProcessorLogMessages.h:82
Level 2 algorithm: Project vectors describes by the pixels of a sequence image along given direction...
Definition: ProcessorLogMessages.h:98
Level 1 algorithm: generates the expected number of clusters centers for the initialization of the k-...
Definition: ProcessorLogMessages.h:42
Level 1 algorithm: Initializes the clusters for K-Mean classification.
Definition: ProcessorLogMessages.h:58
Level 1 algorithm: Compute compactness given an input image of classes and clusters centroids...
Definition: ProcessorLogMessages.h:50
Level 3 algorithm: Compute clusters centroids given an input image and the image of classes...
Definition: ProcessorLogMessages.h:48
Level 1 algorithm: Compute clusters centroids given an input image and the image of classes...
Definition: ProcessorLogMessages.h:44
Level 3 algorithm: Compute the eigenvectors and eigenvalues within the framework of PCA...
Definition: ProcessorLogMessages.h:94