G'MIC - GREYC's Magic for Image Computing: A Full-Featured Open-Source Framework for Image Processing

Reference

Table of Contents ▸ List of Commands ▸ Features Extraction ▸ hough

◀ histogram_pointwise | huffman_tree ▶

hough

Arguments:

_width>0,_height>0,gradient_norm_voting={ 0:No | 1:Yes }

Description:

Compute hough transform (theta,rho) of selected images.

Default values:

width=512, height=width and gradient_norm_voting=1.

Example of use:

<a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur 1.5 hough[-1] 400,400 blur[-1] 0.5 add[-1] 1 log[-1]

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur 1.5 hough[-1] 400,400 blur[-1] 0.5 add[-1] 1 log[-1]

Command: <a href="image.jpg" class="highslide" onclick="return hs.expand(this)">image.jpg</a> +blur 1.5 hough[-1] 400,400 blur[-1] 0.5 add[-1] 1 log[-1]

G'MIC - GREYC's Magic for Image Computing: A Full-Featured Open-Source Framework for Image Processing

G'MIC is an open-source software distributed under the CeCILL free software licenses (LGPL-like and/or
GPL-compatible). Copyrights (C) Since July 2008, David Tschumperlé - GREYC UMR CNRS 6072, Image Team.