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Proceedings Paper

High-accurate line feature extraction algorithm based on line diffusion function model
Author(s): Shunyi Zheng; Guozhong Su; Jianqing Zhang
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Paper Abstract

A high-accurate line feature extraction algorithm based on line diffusion function model has been proposed in this paper, using local gray value variations to precisely identify edge locations. This paper firstly analyzed the primary principle of line diffusion function model, then showed that how to use the information of image window to determine the exact position of line features in images. During the process, the mathematical model is provided and high-accurate line feature extraction algorithm has been developed. Finally, this algorithm has been used to extract line features from aerial images of urban area and experimental results are presented to demonstrate the efficiency and accuracy of the proposed algorithm.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863V (15 November 2007); doi: 10.1117/12.750436
Show Author Affiliations
Shunyi Zheng, Wuhan Univ. (China)
Guozhong Su, Academy of Opto-Electronics (China)
Jianqing Zhang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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