Edge detection for millimeter-wave images based on curvelet transform

Hui-qian Du; Fei Gu; Wen-bo Mei

doi:10.1117/12.791220

19 February 2008 Edge detection for millimeter-wave images based on curvelet transform

Hui-qian Du, Fei Gu, Wen-bo Mei

Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66251I (2008) https://doi.org/10.1117/12.791220
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

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.

Citation Download Citation

Hui-qian Du, Fei Gu, and Wen-bo Mei "Edge detection for millimeter-wave images based on curvelet transform", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66251I (19 February 2008); https://doi.org/10.1117/12.791220

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