Computer Engineering & Science >
An Approach to Contour Extraction Based on Connected Regions
Received date: 2010-08-02
Revised date: 2010-11-10
Online published: 2011-06-25
Contour extraction is one of the fundamental steps in computer vision. The correctness and reliability of its results affect directly the comprehension of machine vision systems for the objective world. There are many contour algorithms at present, and each has its own characteristics and shortcomings. Therefore, this paper gives an algorithm based on the connected regions and the threshold to not only extract the contour of the object but also erase the noise at the same step in image processing. Furthermore, the object can be located according to the contour. As shown in the experiments, the noises are erased clearly when the area of each noise is less than that of the object, and especially a single pixel width contour of the object can be presented which is also noninterval and noncross, and not distorted from the object.
WANG Wenhao,ZHOU Hong,YAN Yunyang . An Approach to Contour Extraction Based on Connected Regions[J]. Computer Engineering & Science, 2011 , 33(6) : 67 -71 . DOI: 10.3969/j.issn.1007130X.2011.
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