Image Segmentation Based on Facet Model Fitting

被引：1
作者：
Li, Wenguo [1 ]
Duan, Shaojun [2 ]
Yin, Zhihong [1 ]
机构：
[1] Kunming Univ Sci & Technol, Fac Mech & Elect Engn, 68 Wenchang Rd,121 St, Kunming 650093, Peoples R China
[2] Kunming Univ, Kunming Econ & Technol Dev Zone, Kunming 650214, Peoples R China
来源：
ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEM AND MATERIAL ENGINEERING | 2012年 / 459卷
关键词：
Image segmentation; region growing; seed point; region merging; edge extraction; EDGE-DETECTION;
D O I：
10.4028/www.scientific.net/AMR.459.35
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The image segmentation algorithm based on facet model fitting is proposed, we firstly employ the facet model to fit the image intensity, and then calculate the fitting error. After acquiring seed segmentation region from the fitting error distribution, the region growing algorithm is implemented to enlarge the seed region to some region boundary. Finally, a new region merging algorithm is implemented to merge adjacent regipons into some large regions. Experiment results intestify the correctness of our proposed segmentation algorithm.
引用
收藏
页码：35 / +
页数：2
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