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15 November 2007 New edge detection method for multispectral images
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Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67872K (2007) https://doi.org/10.1117/12.750705
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In this paper, a new method for edge detection in multispectral images is presented. The method is based on the assumption that edges correspond to the boundary that separates two adjacent homogeneous regions, and characterization of edges are conducted by evaluating the difference between the two adjacent neighborhood regions to derive edge intensity and orientation. To demonstrate the efficiency of the proposed approach, we carried out computer experiments on multiple-band images and comparison with other methods. Experiments on a variety of images have shown that it is consistent and reliable tool to detecting edges of multispectral images. The proposed method can detect the edges successfully and can resolve to thick edges.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Genyun Sun, Qinhuo Liu, and Ye Zhou "New edge detection method for multispectral images", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872K (15 November 2007); https://doi.org/10.1117/12.750705
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