Detection and removal of inveracious edges of shadows based on wavelet transform

Changyou Li; Hongyu Yao; Qishuang Ma

doi:10.1117/12.716736

24 October 2006 Detection and removal of inveracious edges of shadows based on wavelet transform

Changyou Li, Hongyu Yao, Qishuang Ma

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63570K (2006) https://doi.org/10.1117/12.716736
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

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.

Citation Download Citation

Changyou Li, Hongyu Yao, and Qishuang Ma "Detection and removal of inveracious edges of shadows based on wavelet transform", 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); https://doi.org/10.1117/12.716736

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KEYWORDS

Wavelet transforms

Detection and tracking algorithms

Edge detection

Evolutionary algorithms

Wavelets

Atrial fibrillation

Video

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