Image target segmentation method based on fuzzy entropy and salient region extraction

Song-Tao Liu; He-Nan Wang; Zhan Wang

doi:10.1117/12.2503165

9 August 2018 Image target segmentation method based on fuzzy entropy and salient region extraction

Song-Tao Liu, He-Nan Wang, Zhan Wang

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108062W (2018) https://doi.org/10.1117/12.2503165
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Song-Tao Liu, He-Nan Wang, and Zhan Wang "Image target segmentation method based on fuzzy entropy and salient region extraction", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062W (9 August 2018); https://doi.org/10.1117/12.2503165

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