Multimedia Tools and Applications

, Volume 76, Issue 4, pp 5965–5984 | Cite as

A contour detector with improved corner detection

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Abstract

This paper mainly studies the image contour detection algorithm which can distinguish edges of different strengths. Based on the study of Probability-of-Boundary operator, we find that defects such as response suppression and offset exist in the algorithm during the detection of corners and curved edges, thus an improved algorithm is proposed. This algorithm retains the advantage in Probability-of-Boundary algorithm which can effectively distinguish the edge strength, while improves the above-mentioned defects. And an improved algorithm is proposed to characterize the strength of boundary reasonably, making the test results in line with human subjective recognition results.

Keywords

Contour detection Image segmentation Computer vision 

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.School of Aeronautics and AstronauticsUniversity of Electronic Science and Technology of ChinaChengduChina

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