exedoPPHT
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Centre for Vision, Speech & Signal Processing |
Do a Progressive Probablistic Hough Transform on an edge image.
This is a simple program which uses the edge detection class
on an image.
Online Help:
Usage: /vol/vssp/local/trees/amma-4/linux/bin/doPPHT [options]
-optload () [] Load options from a file.
-optsave () [] Save options to a file.
-it () [] Input file type.
-ot () [] Output file type.
-prx (0.01) [0.01] Angle resolution.
-pry (1) [1] Position resolution.
-pfp (1) [1] False Postive threshold.
-pw (90) [90] Angle range.
-ptl (-1) [-1] Processing time limit, -ve is none.
-sb (FALSE) [FALSE] Use sobel sampling.
-ms (FALSE) [FALSE] Use magnitude sort.
-sf (1.4) [1.4] Search size for Sobel search
-s (985085775) [985085775] Seed random number generator.
-v (FALSE) [FALSE] Verbose.
-seq (FALSE) [FALSE] Process sequence.
-fd (FALSE) [FALSE] Full direction.
-fb (FALSE) [FALSE] Feed back. Use last results as possible hypothesies.
-sht (FALSE) [FALSE] Do SHT instread.
-so (FALSE) [FALSE] Do setup only.
-cw (2.5) [2.5] Line corridor width in pixels
-mg (5) [5] Maxium size of gap inline in pixels
-ml (3) [3] Minimum line length to that can be detected
arg (edges.abs) [edges.abs] Input filename.
arg (lines.abs) [lines.abs] Output filename.
-help (TRUE) [FALSE] Print usage information.
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Author: Charles Galambos, Generated by DocExe: March 20, 2001 |