An efficient local Chan-Vese model for image segmentation

By Xiaofeng Wang, De-shuang Huang, Huan Xu. Pattern Recognition, 2010

620 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c17bece8f9212d983dd5b41e099b5950bd2606d5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Massimo Minervini
2. Sotirios A. Tsaftaris
3. Mohammed M. Abdelsamea
4. Wentong Li
5. Jianke Zhu
6. Miaomiao Cui
7. Xia Hua
8. Lei Zhang

Citations in the corpus

• Box-supervised Instance Segmentation with Level Set Evolution (2022, background): “Chan and Vese [7] later simplified the Mumford-Shah functional as a variational level set, which has been explored aplenty [31,34,46,52].”
• Image-based plant phenotyping with incremental learning and active contours (2014, background): “Texture features are encoded in the channels I3,…, IN as local information since they describe local neighborhood structure (Wang et al., 2010).”