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Image target segmentation method based on fuzzy entropy and salient region extraction
Author(s): Song-Tao Liu; He-Nan Wang; Zhan Wang
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Paper Abstract

In order to achieve fast and accurate target segmentation of ship images, a segmentation method based on fuzzy entropy and salient region extraction is proposed. Firstly, the multi-level fuzzy entropy and differential evolution is applied to obtain image segmentation result quickly. Then, for obtaining the seed points, a saliency detection method based on dual pyramids and feature fusion is used, and the target core region is generated by morphological open operation using reconstruction and region maximum. Finally, the image segmentation results are binarized in each layer and combined, and the region block is selected with the largest overlap on the target core region for the target segmentation results. The experimental results show that the new method can realize the fast and accurate segmentation of ship target images under various complex scenes.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062W (9 August 2018); doi: 10.1117/12.2503165
Show Author Affiliations
Song-Tao Liu, Dalian Naval Academy (China)
He-Nan Wang, Dalian Naval Academy (China)
Zhan Wang, Dalian Naval Academy (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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