Dynamic Threshold Selection of Local Region Based on Image Partition

doi:10.3969/j.issn.1006-2475.2016.11.009

Abstract

Abstract: Most of the current edge detection methods adopt global threshold selection, which leads to the missing edge of local image. Moreover, the existing local threshold selection based on image partition causes a big difference of local thresholds and makes the edge discontinuity. Thus, in order to solve these problems, a method of local dynamic threshold selection based on image partition is proposed. Entropy is used to block image. The influence of the neighborhood on dynamics is considered to calculate the local threshold and ensure the continuity of local thresholds. Finally, the method is applied to Robert operator and Canny algorithm. The results show that the dynamic threshold selection can improve the detection accuracy effectively and enhance the continuity of edge.
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Key words: edge detection, dynamic threshold selection, image partition, Canny algorithm, Robert operator

CLC Number:

TP391

ZHU Hai-yang1, XU Gen-jiu2, LI Yuan-chen1, ZHANG Meng-qi2. Dynamic Threshold Selection of Local Region Based on Image Partition[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.11.009.

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