Woolz Image Processing Version 1.4.0
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WlzCelCmpFeatures [-b] [-c<col 0>[,<col 1>[,col 2]]] [-C] [-d<debug mask>] [-f<input image format>] [-h] [-l<col 0>[,<col 1>[,<col 2>]]] [-L] [-n#] [-o<out file>] [-s<seg file base>] [-S<seg file format>] [-v] [<input image>]
-b | Treats the segmented cells and clumps as binary objects, ignoring their image values. |
-c | Colour space for segmenting the cells. The colour is specified by a single letter which is one of - red, green, blue, yellow, magenta, cyan, hue, saturation, value and grey. All processing is done on single (grey) valued images. Two methods may be used to get the grey valued image from the input image: If one colour is specified then that colour space is used to construct a grey valued image, if a colour pair is given then the ratio of the first to second is used, alternatively if a colour triple is given the first two are used for the ratio and the third as a multiplier. See WlzRGBChannelRatio(1). |
-C | Invert cell image values. |
-d | Probably only useful for debugging, this is a bit mask which controls the debug output. Mask bit 1 set for text output and mask bit 2 set for object output. The default is no debug output. |
-f | Input image format. |
-h | Help - prints a usage message. |
-l | Colour space for segmenting the clumps. The colour is specified by a single letter as for the cells segmentation. |
-L | Invert clump image values. |
-n | Number of angular increments to use (default 360). |
-o | Output file for the feature values. |
-s | The segmentation output image base is used to provide a colorised image showing the segmentation for each segmented clump. Unless a file base is given no segmentation images are output. |
-S | Output colorised image format. |
-v | Verbose output. |
WlzCelCmpCentrality -b -c b,r -l r,g -s image-seg-.jpg -v image.jpg