A novel edge detection method based on the maximizing objective function

Chung Chia Kang, Wen June Wang

研究成果: 雜誌貢獻期刊論文同行評審

96 引文 斯高帕斯(Scopus)

摘要

This paper proposes a novel edge detection method for both gray level images and color images. The 3 × 3 mask in the image is considered and two pixel sets S0 and S1 in the mask are used to define an objective function. The values of the objective function corresponding to four directions determine the edge intensity and edge direction of each pixel in the mask. After all pixels in the image have been processed, the edge map and direction map are generated. Then we apply the non-maxima suppression method to the edge map and the direction map to extract the edge points. The proposed method can detect the edge successfully, while double edges, thick edges, and speckles can be avoided.

原文???core.languages.en_GB???
頁(從 - 到)609-618
頁數10
期刊Pattern Recognition
40
發行號2
DOIs
出版狀態已出版 - 2月 2007

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