High-accurate line feature extraction algorithm based on line diffusion function model

Shunyi Zheng; Guozhong Su; Jianqing Zhang

doi:10.1117/12.750436

15 November 2007 High-accurate line feature extraction algorithm based on line diffusion function model

Shunyi Zheng, Guozhong Su, Jianqing Zhang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863V (2007) https://doi.org/10.1117/12.750436
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Shunyi Zheng, Guozhong Su, and Jianqing Zhang "High-accurate line feature extraction algorithm based on line diffusion function model", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863V (15 November 2007); https://doi.org/10.1117/12.750436

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KEYWORDS

Diffusion

Feature extraction

Detection and tracking algorithms

Algorithm development

Mathematical modeling

Automatic target recognition

Image processing

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