Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
530814 | Pattern Recognition | 2008 | 8 Pages |
Abstract
We present improvements of an adaptative Hough transform algorithm applied to the search of a common center of circular or partially circular components present in an image. The efficiency has been considerably optimized by a continuous update of a list of voting points, in conjunction with the evolution of the accumulator size and position. The method was implemented as a plugin for the scientific open source image processing package ImageJ. Although initially designed for X-ray diffraction analysis, numerous other applications are quoted in different other scientific field, in image measurement techniques, industrial vision, and biometry, i.e. for iris localization.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Julien Cauchie, Valérie Fiolet, Didier Villers,