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Alternative TitleOutdoor Illumination Shadow Detection based on Pixel-wise Orthogonal Decomposition
段志刚; 屈靓琼; 田建东; 唐延东
Source Publication光学学报
Indexed ByEI ; CSCD
EI Accession number20163702800359
Contribution Rank1
Keyword机器视觉 阴影检测 正交分解 期望最大化算法 高斯混合模型
Other AbstractFor detecting the shadow in outdoor illumination conditions rapidly and efficiently, a shadow detection approach based on pixel-wise orthogonal decomposition is proposed in this paper. Based on linear model in and out of shadows in an outdoor scene image, a linear equation set is built for each pixel value vector and is orthogonally decomposed. By the decomposition of the linear equation solution space, a color illumination invariant image and an illumination variation image are obtained. By K-means algorithm, the color illumination invariant image is classified into some regions, each of which has the same spectral albedo. According to the classification results, a Gaussian mixture model with expectation maximization algorithm is proposed for modeling the illumination variation image, and then the shadow areas are extracted. The extracted shadow areas are optimized with morphological operator. The proposed method does not need complex learning process of feature operators and greatly reduces the time complexity of computation. It also does not require any prior knowledge and can be directly applied to the real-time scene processing.
Citation statistics
Cited Times:2[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author唐延东
Recommended Citation
GB/T 7714
段志刚,屈靓琼,田建东,等. 基于正交分解的室外光照阴影检测[J]. 光学学报,2016,36(8):209-217.
APA 段志刚,屈靓琼,田建东,&唐延东.(2016).基于正交分解的室外光照阴影检测.光学学报,36(8),209-217.
MLA 段志刚,et al."基于正交分解的室外光照阴影检测".光学学报 36.8(2016):209-217.
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