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Proceedings Paper

Edge detection for millimeter-wave images based on curvelet transform
Author(s): Hui-qian Du; Fei Gu; Wen-bo Mei
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Paper Abstract

The millimeter-wave images have low resolution and heavy noise. Hence it is hard to detect the edges in such images. A detection scheme based on curvelet transform is proposed. The idea is to suppress noise through Wrapping algorithm of curvelet transform at first, then determine gradient amplitude of pixels. At last the non-maximum and double threshold method are used to obtain the edges. The experiments show that clear edges of human and object images in millimeter-wave images can be detected efficiently, and the scheme implements fast.

Paper Details

Date Published: 19 February 2008
PDF: 6 pages
Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66251I (19 February 2008); doi: 10.1117/12.791220
Show Author Affiliations
Hui-qian Du, Beijing Institute of Technology (China)
Fei Gu, Beijing Institute of Technology (China)
Wen-bo Mei, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6625:
International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications
Liwei Zhou, Editor(s)

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