VDOG | VisionX V4 |
vdog - Difference of Gaussians filter
SYNOPSISvdog if= [of=] [r=] [s=] [-2d] [-3d] [-a] [-f] [-mm] [-v] [-d]
DESCRIPTIONvdog is a reference implemntation of the Difference of Gaussiaan (DoG) filter. The s= parameter specifies the sigma for the small Gaussian and the r= parameter specifies the the ratio of small to large Gaussians (default 1.6).
The filter is implemented for both 2D and 3D images which may be explicitly set with the -2d and -3d options. If neither option is set then 2D filtering is performed on images without frame markers or having only one frame and 3D mode is set multiple images with frame markers.
r=1.6 approxiation for Laplacian of Gaussian, r=5 approximation for human visual system
CONSTRAINTSMultiple channel images not supported.
OPTIONS|
if= |
input image file | ||
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of= |
ouput image file | ||
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s= |
sigma of the smaller Gaussian function (default 1.5) | ||
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r= |
ratio of large to small sigmas (default 1.6). | ||
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-2d |
2D mode, only filter the first two image dimensions | ||
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-3d |
3D mode, only filter in all three image diemensions | ||
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-a |
autoscale the output to a byte image | ||
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-f |
keep the output image in float format | ||
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-v |
verbose mode | ||
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-mm |
sigma is expressed in mm rather than pixels (for DICOM images) | ||
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-d |
debug mode |
A. P. Reeves