Extraction of non-structured object contours based on multi-scale entropy difference operator

Li Liu; Fuyuan Peng; Kun Zhao; Yaping Wan

doi:10.1117/12.742393

15 November 2007 Extraction of non-structured object contours based on multi-scale entropy difference operator

Li Liu, Fuyuan Peng, Kun Zhao, Yaping Wan

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860E (2007) https://doi.org/10.1117/12.742393
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Contour information is regarded as important characteristic in computer vision. It is difficult to extract Contour information from the non-structural object due to its complicated structure. This paper present a novel concept of Multi- Scale Entropy (MSE) based on traditional Entropy that can be used to perform reliable extracting contours from non-structured objects such as smoking and rocks. The variety of image information amount was presented dynamically by this means. The Multi-Scale Entropy Difference (MSED) can present the break part of the image gray information and recognize the boundary of object and background effectively. Finally the non-structural object contours was extracted by Maximal Multi-Scale Entropy Difference (MMSED). Experiments have shown that the operator can extract stable contours from non-structural objects and eliminate the interior complex texture structure effectively.

Citation Download Citation

Li Liu, Fuyuan Peng, Kun Zhao, and Yaping Wan "Extraction of non-structured object contours based on multi-scale entropy difference operator", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860E (15 November 2007); https://doi.org/10.1117/12.742393

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