15 November 2007 High-accurate line feature extraction algorithm based on line diffusion function model
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shunyi Zheng, Shunyi Zheng, Guozhong Su, Guozhong Su, Jianqing Zhang, 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); doi: 10.1117/12.750436; https://doi.org/10.1117/12.750436
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