• NAME
• SYNOPSIS
• FUNCTION DESCRIPTIONS
• SegmentImage

NAME

segment - Segment an Image with Thresholding Fuzzy c-Means

SYNOPSIS

MagickBooleanType SegmentImage( Image *image, const ColorspaceType colorspace, const MagickBooleanType verbose, const double cluster_threshold, const double smooth_threshold );

FUNCTION DESCRIPTIONS

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:

MagickBooleanType SegmentImage ( Image *image, const ColorspaceType colorspace, const MagickBooleanType 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 MagickRealType 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.