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Nonlocal filtering based salient region detection
Author(s): Xianhe Wang; Yingkun Hou; Deyun Yang; Jun Wang; Tiwei Tao
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Paper Abstract

Image salient region detection is widely used in many fields, such as automatic target detection, image retrieval, object recognition and image segmentation. Although there are many methods related to image salient region detection, improving its accuracy is still one of the hot research areas in image processing. In this paper, we propose a novel salient detection algorithm based on nonlocal filtering, which is mainly used in image denoising. The proposed algorithm stacks several similar blocks to form a three-dimensional matrix by image block matching, in which the filtered image by nonlocal filtering can better preserve image detail information than traditional Gaussian filtering. We calculate the Euclidean distance between the mean of the original image and the filtered image as the saliency map. The experimental results show that the proposed algorithm can accurately obtain the saliency map, especially, the edge of the saliency map image is much better than many existing algorithms.

Paper Details

Date Published: 6 May 2019
PDF: 7 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110691O (6 May 2019); doi: 10.1117/12.2524155
Show Author Affiliations
Xianhe Wang, Guilin Univ. of Technology (China)
Taishan Univ. (China)
Yingkun Hou, Taishan Univ. (China)
Deyun Yang, Taishan Univ. (China)
Jun Wang, Taishan Univ. (China)
Tiwei Tao, Guilin Univ. of Technology (China)
Taishan Univ. (China)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

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