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Optical Engineering

Self-detection of optical contamination or occlusion in vehicle vision systems
Author(s): Yi Zhang; Jie Yang; Kun Liu; Xiang Zhang
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Paper Abstract

We present a novel and practical algorithm for the self-detection problem of contamination or occlusions on the lens of a camera mounted on a vehicle. First, we analyze the intrinsic characteristics of such contamination on the video image. Based on this, cumulative differences are used to segment the static region in the image. A blurred edge detection algorithm based on wavelet decomposition is introduced to confirm if the static region belongs to contamination or an occlusion. Through the combination of these algorithms, contamination or occlusions can be detected. Experimental data are analyzed to show the detection performance of our algorithm and the effect of different contamination or occlusion material.

Paper Details

Date Published: 1 June 2008
PDF: 6 pages
Opt. Eng. 47(6) 067006 doi: 10.1117/1.2947578
Published in: Optical Engineering Volume 47, Issue 6
Show Author Affiliations
Yi Zhang, Shanghai Jiao Tong Univ. (China)
Jie Yang, Shanghai Jiaotong Univ. (China)
Kun Liu, Shanghai Jiao Tong Univ. (China)
Xiang Zhang, Shanghai Jiaotong Univ. (China)


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