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Saliency driven region-edge-based top down level set evolution reveals the asynchronous focus in image segmentation

  • Published:2018-08 Issue: Volume:80 Page:241-255
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Zhi Xu-HaoORCID,Shen Hong-Bin

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. A new iterative triclass thresholding technique in image segmentation;Cai;IEEE Trans. Image Process.,2014

2. Multilevel image segmentation based on fractional-order darwinian particle swarm optimization;Ghamisi;IEEE Trans. Geosci. Remote Sens.,2014

3. A threshold selection method from gray-level histograms;Otsu;IEEE Trans. Syst. Man. Cybern.,1979

4. Mean shift: a robust approach toward feature space analysis;Comaniciu;IEEE Trans. Pattern Anal. Mach. Intell.,2002

5. Higher-order correlation clustering for image segmentation;Kim;IEEE Trans. Pattern Anal. Mach. Intell.,2015

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