CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis.
Yi LuYaran ChenDongbin ZhaoBao LiuZhichao LaiJianxin ChenPublished in: IEEE Trans. Cogn. Dev. Syst. (2021)
Keyphrases
- convolutional neural network
- theoretical analysis
- image segmentation
- face detection
- graph partitioning
- normalized cut
- numerical simulations
- graph cuts
- graph theoretic
- graph structure
- computer vision
- min cut
- graph model
- graph matching
- active contours
- random walk
- multiscale
- segmentation algorithm
- graph representation
- level set method
- weighted graph
- neural network
- image processing
- clustering algorithm
- image analysis
- energy functional
- graph theory
- bipartite graph
- object detection
- segmentation method
- ground truth
- region growing
- markov random field
- directed graph
- support vector
- connected components
- boundary detection
- structured data
- image segmentation algorithm
- detection method
- unsupervised image segmentation
- gray level