exedoPPHT
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. 
Author: Charles Galambos, Generated by DocExe: March 20, 2001