NAME SYNOPSIS FUNCTION DESCRIPTIONS GetImageDynamicThreshold SegmentImage # NAME segment - Segment an Image with Thresholding Fuzzy c-Means # SYNOPSIS DoublePixelPacket GetImageDynamicThreshold( const Image *image, const double cluster_threshold, const double smooth_threshold, ExceptionInfo *); unsigned int SegmentImage( Image *image, const ColorspaceType colorspace, const unsigned int verbose, const double cluster_threshold, const double smooth_threshold ); # FUNCTION DESCRIPTIONS ## GetImageDynamicThreshold GetImageDynamicThreshold() returns the dynamic threshold for an image. The format of the GetImageDynamicThreshold method is: DoublePixelPacket GetImageDynamicThreshold ( const Image *image, const double cluster_threshold, const double smooth_threshold, ExceptionInfo *); A description of each parameter follows. image: The image. cluster_threshold: This double represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage). smooth_threshold: the smoothing threshold eliminates noise in the second derivative of the histogram. As the value is increased, you can expect a smoother second derivative. exception: Return any errors or warnings in this structure. ## SegmentImage SegmentImage() segment an image by analyzing the histograms of the color components and identifying units that are homogeneous with the fuzzy C-means technique. The format of the SegmentImage method is: unsigned int SegmentImage ( Image *image, const ColorspaceType colorspace, const unsigned int verbose, const double cluster_threshold, const double smooth_threshold ); A description of each parameter follows. image: The image. colorspace: indicates the colorspace. verbose: A value greater than zero prints detailed information about the identified classes. cluster_threshold: This double represents the minimum number of pixels contained in a hexahedra before it can be considered valid (expressed as a percentage). smooth_threshold: the smoothing threshold eliminates noise in the second derivative of the histogram. As the value is increased, you can expect a smoother second derivative. "Image manipulation software that works like magick"