New edge detection method for multispectral images

Genyun Sun; Qinhuo Liu; Ye Zhou

doi:10.1117/12.750705

15 November 2007 New edge detection method for multispectral images

Genyun Sun, Qinhuo Liu, Ye Zhou

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.

Citation Download Citation

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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KEYWORDS

Edge detection

Multispectral imaging

Sensors

Detection and tracking algorithms

Distance measurement

Image fusion

Image processing

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