@inproceedings{95c8e98276eb4881b53fe81b10f74b7a,
title = "Edge detection for millimeter-wave images based on curvelet transform",
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.",
keywords = "Curvelet transform, Edge detection, Millimeter-wave image, The warping algorithm",
author = "Du, {Hui Qian} and Fei Gu and Mei, {Wen Bo}",
year = "2008",
doi = "10.1117/12.791220",
language = "English",
isbn = "9780819467676",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "International Symposium on Photoelectronic Detection and Imaging 2007",
note = "International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications ; Conference date: 09-09-2007 Through 12-09-2007",
}