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
相关论文
共 50 条
  • [1] Noisy image segmentation model based on the fitting distance energy
    Xie, X. (yu_jian_wo@126.com), 1600, Binary Information Press (10): : 4811 - 4818
  • [2] An effective local regional model based on salient fitting for image segmentation
    Min, Hai
    Lu, Jingting
    Jia, Wei
    Zhao, Yang
    Luo, Yuetong
    NEUROCOMPUTING, 2018, 311 : 245 - 259
  • [3] Improved Local Gaussian Distribution Fitting Energy Model for Image Segmentation
    Fan, Shengming
    Liu, Lixiong
    Liao, Lejian
    EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2016), 2016, 10033
  • [4] An Improved JPEG Compression Algorithm Based on Sloped-facet Model of Image Segmentation
    Wang, Chengyou
    Hou, Zhengxin
    He, Kai
    Yang, Aiping
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 2893 - 2896
  • [5] Image segmentation based on an active contour model of partial image restoration with local cosine fitting energy
    Miao, Jiaqing
    Huang, Ting-Zhu
    Zhou, Xiaobing
    Wang, Yugang
    Liu, Jun
    INFORMATION SCIENCES, 2018, 447 : 52 - 71
  • [6] An Improved Image Segmentation Algorithm Based on Local Gaussian Distribution Fitting Energy Model
    Zhang, Xijinteng
    Wang, Yaping
    Mu, Xiaomin
    Wang, Song
    2016 INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING AND COMMUNICATIONS TECHNOLOGY (IECT 2016), 2016, : 369 - 376
  • [7] A Note on Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy
    Yang, Yunyun
    Zhao, Yi
    Wu, Boying
    Wang, Hongpeng
    2014 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI 2014), 2014, : 149 - 152
  • [8] Kernel fitting for image segmentation
    Liu, Ben-Yong
    Wu, Wen-Yue
    Chen, Xiao-Wei
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 2914 - 2917
  • [9] Image Segmentation Based on Local Chan Vese Model by Employing Cosine Fitting Energy
    Zou, Le
    Song, Liang-Tu
    Wang, Xiao-Feng
    Chen, Yan-Ping
    Zhou, Qiong
    Tang, Chao
    Zhang, Chen
    PATTERN RECOGNITION AND COMPUTER VISION (PRCV 2018), PT I, 2018, 11256 : 466 - 478
  • [10] A Correntropy-Based Local Additive Bias-Field-Corrected Image Fitting Model for Image Segmentation
    Chen, Haoming
    Chen, Bo
    Zhang, Yuru
    Chen, Wensheng
    Jiang, Yuwen
    Pan, Binbin
    FOURTEENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING, ICGIP 2022, 2022, 12705