Software: Apache/2.0.54 (Unix) mod_perl/1.99_09 Perl/v5.8.0 mod_ssl/2.0.54 OpenSSL/0.9.7l DAV/2 FrontPage/5.0.2.2635 PHP/4.4.0 mod_gzip/2.0.26.1a 

uname -a: Linux snow.he.net 4.4.276-v2-mono-1 #1 SMP Wed Jul 21 11:21:17 PDT 2021 i686 

uid=99(nobody) gid=98(nobody) groups=98(nobody) 

Safe-mode: OFF (not secure)

/usr/doc/ImageMagick-5.5.4-3/api/   drwxr-xr-x
Free 318.35 GB of 458.09 GB (69.5%)
                            Encoder    Tools    Proc.    FTP brute    Sec.    SQL    PHP-code    Update    Feedback    Self remove    Logout    

Viewing file:     segment.html (4.31 KB)      -rw-r--r--

• 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.