Image Saliency Detection Based on Spatial Distribution Statistics of Image Patch
Authors: 
Chao Jia, Shuqing Lin, Fanshu KongAuthors Info & Claims
Chao Jia, Shuqing Lin, Fanshu KongAuthors Info & ClaimsPages 254 - 258
Abstract
According to biological visual attention mechanism, an image saliency detection algorithm based on spatial distribution statistics of image patch is proposed in this paper. Firstly, the structure of image patch is constructed by image segmentation; Then, color clustering is carried out on image patch, and the Color eigenvector and spatial distribution dispersion of clustering colors are calculated; After that, the statistical characteristics model of clustering color spatial distribution of image patch is used to detect the salient region of image; Finally, the image salient region is enhanced by calculating the distance between each pixel and the center of the image salient region. Experiments show that this detection algorithm has a higher precision and recall rate, can significantly suppress complex texture and noise, and remove the influence of complex background.
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Index Terms
- Image Saliency Detection Based on Spatial Distribution Statistics of Image Patch
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Published In
February 2020
607 pages
ISBN:9781450376426
DOI:10.1145/3383972
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- Shenzhen University: Shenzhen University
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Association for Computing Machinery
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Published: 26 May 2020
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ICMLC 2020
ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing
February 15 - 17, 2020
Shenzhen, China
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