Level set based shape prior segmentation
By Tony F. Chan, Wei Zhu. Computer Vision and Pattern Recognition, 2005
356 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/b7812794b02b183a9d663fd072b42b89ed372238
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Chunming Li
- Daniel Cremers
- Stefano Soatto
- Lin F. Yang
- Fuyong Xing
- Chiu Yen Kao
- Stanley J. Osher
- Kristen Grauman
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Lei Zhang
- Ming-Hsuan Yang
- Dacheng Tao
- Kristen Grauman
- Jitendra Malik
- Andrea Vedaldi
- Xiaogang Wang
Citations in the corpus
- An Automatic Learning-Based Framework for Robust Nucleus Segmentation (2016, background): “In order to tackle these limitations, high level shape priors are introduced to level set models [39], [40] for better segmentation of partially occluded objects.”
- Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review (2016, methodology): “shape model is incorporated into the level set framework [236] to segment overlapping nuclei and lymphocytes in prostate and breast cancer histopathological images; in [74], the shape prior constraint [235] is integrated in the distance regularized level set model [237], and thus, the method can eff”
- Implicit Active Contours Driven by Local Binary Fitting Energy (2007, background): “Second, various prior knowledge, such as shape and intensity distribution, can be easily incorporated into active contour models for robust image segmentation [3, 8, 16].”
- Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation (2006, methodology): “…et al., 2002; Rousson and Paragios, 2002; Cremers, Sochen and Schnörr, 2003; Cremers and Soatto, 2003; Charpiat et al., 2005; Cremers et al., 2006; Chan and Zhu, 2003) and on classical methods of non-parametric density estimation (Rosenblatt, 1956; Parzen, 1962), we will in the following…”
- Shape Sharing for Object Segmentation (2012, background): “In contrast, our approach leverages shape in a category-independent manner, and thus does not require prior knowledge about the object(s) present.”