Image target segmentation method based on fuzzy entropy and salient region extraction
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.
- Publication:
-
Tenth International Conference on Digital Image Processing (ICDIP 2018)
- Pub Date:
- August 2018
- DOI:
- 10.1117/12.2503165
- Bibcode:
- 2018SPIE10806E..2WL