Pair


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.