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Proceedings Paper

Extraction of non-structured object contours based on multi-scale entropy difference operator
Author(s): Li Liu; Fuyuan Peng; Kun Zhao; Yaping Wan
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860E (15 November 2007); doi: 10.1117/12.742393
Show Author Affiliations
Li Liu, HuaZong Univ. of Science and Techology (China)
NanHua Univ. (China)
Fuyuan Peng, HuaZong Univ. of Science and Technology (China)
Kun Zhao, HuaZong Univ. of Science and Technology (China)
Yaping Wan, NanHua Univ. (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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