Title :
Feature determination and inexact matching of images of industrial components
Author_Institution :
Napier College, Department of Electrical and Electronic Engineering, Edinburgh, UK
fDate :
11/1/1985 12:00:00 AM
Abstract :
Techniques for the segmentation and recognition of images of overlapping industrial components in visually cluttered environments are described. Image segmentation is based on the Hough transformation of preprocessed edge data, employed as a predictive mechanism for line fitting, merging and redundancy checking, coupled with feedback verification. In the recognition phase, the extracted features are matched inexactly against a database of known models. Hypotheses are based on local feature matches and verified, first, by comparison of a translated and rotated prototype with the feature data, and, secondly, by re-examination of the original gradient data. Examples of experiments performed on single and multiple-component images are presented, demonstrating the robustness of the method.
Keywords :
computerised pattern recognition; computerised picture processing; Hough transformation; feature determination; feedback verification; image recognition; industrial components images; inexact matching; line fitting; local feature matches; merging; multiple-component images; predictive mechanism; redundancy checking; segmentation; visually cluttered environments;
Journal_Title :
Computers and Digital Techniques, IEE Proceedings E
DOI :
10.1049/ip-e:19850042