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Proceedings Paper

New edge detection method for multispectral images
Author(s): Genyun Sun; Qinhuo Liu; Ye Zhou
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 4 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872K (15 November 2007); doi: 10.1117/12.750705
Show Author Affiliations
Genyun Sun, Institute of Remote Sensing Applications (China)
Qinhuo Liu, Institute of Remote Sensing Applications (China)
Ye Zhou, Institute of Remote Sensing Applications (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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