A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction.
Chaolu FengJinzhu YangChunhui LouWei LiKun YuDazhe ZhaoPublished in: Comput. Math. Methods Medicine (2020)
Keyphrases
- model for image segmentation
- active contours
- multiscale
- image segmentation
- level set
- random fields
- intensity inhomogeneity
- object boundaries
- active contour model
- potential functions
- mumford shah
- segmentation method
- shape prior
- level set method
- k means
- image intensity
- energy functional
- curve evolution
- energy function
- geodesic active contours
- image processing
- machine learning
- bayesian estimation
- higher order
- level set framework
- level set evolution
- computer vision