Journal of System Simulation
Abstract
Abstract: An approach of color-texture image segmentation was proposed based on geodesic active contour model and multilayer graph cut model. As the clustering centers were commonly descripted with constant densities, the two phase Chan-vese model was extended to multiphase geodesic active contour model by using the Gaussian distribution to describe the changing density for each phase, and meanwhile the geodesic active contour was added into the proposed model, so that the presented approach could capture out the concave edge. For the minimization of the proposed energy function, a corresponded multilayer graph cut model was designed for resolving global approximated minimization by adopting maximum flow/minimum cut algorithm. Through the comparison experiment, the superiority of the proposed method can capture the concave boundary, which owns higher accuracy of the quantitative results.
Recommended Citation
Yong, Yang; Zheng, Liangren; Ling, Guo; and Ye, Yangdong
(2020)
"Color-texture Image Segmentation Approach Designed by Integrating Geodesic Active Contour Model and Multilayer Graph Cut Model,"
Journal of System Simulation: Vol. 28:
Iss.
9, Article 35.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss9/35
First Page
2159
Revised Date
2015-09-23
DOI Link
https://doi.org/
Last Page
2168
CLC
TP391.04
Recommended Citation
Yang Yong, Zheng Liangren, Guo Ling, Ye Yangdong. Color-texture Image Segmentation Approach Designed by Integrating Geodesic Active Contour Model and Multilayer Graph Cut Model[J]. Journal of System Simulation, 2016, 28(9): 2159-2168.
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