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Proceedings Paper

Detection and removal of inveracious edges of shadows based on wavelet transform
Author(s): Changyou Li; Hongyu Yao; Qishuang Ma
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Paper Abstract

An algorithm of detection and removal for the inveracious edge of shadow in borescope images based on wavelet transform is presented. Because inveracious edges which shadows result in will influence the validity of subsequent image recognition, it is necessary to remove those inveracious edges that are extracted directly from borescope images. The grey levels of shadow regions in borescope images are low and uniform. Therefore, contours of shadows are step-structure borders. Thus, the algorithm first extracts all the edges from image using dyadic wavelet transform at multiscale. Further, the borders of shadow regions are detected from all the edges by using the property that the wavelet coefficients of step-structure borders are not correlative to the scales of wavelet transform, and connected. Finally, a neighborhood function is constructed to recognize and remove those pixels on the inveracious border. Experiment results show that this algorithm can directly obtain the intrinsical edges.

Paper Details

Date Published: 24 October 2006
PDF: 5 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63570K (24 October 2006); doi: 10.1117/12.716736
Show Author Affiliations
Changyou Li, BeiHang Univ. (China)
Jiaozuo Univ. (China)
Hongyu Yao, General Administration of Civil Aviation of China (China)
Qishuang Ma, BeiHang Univ. (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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