光学技术, 2017, 43 (4): 381, 网络出版: 2017-08-09   

基于改进区域生长法的电力设备红外图像分割

Mentation based on modified region growing algorithm
作者单位
上海电机学院, 上海 201306
引用该论文

施兢业, 刘俊. 基于改进区域生长法的电力设备红外图像分割[J]. 光学技术, 2017, 43(4): 381.

SHI Jingye, LIU Jun. Mentation based on modified region growing algorithm[J]. Optical Technique, 2017, 43(4): 381.

参考文献

[1] PENG B, ZHANG L, ZHANG D. A survey of graph theoretical approaches to image segmentation[J]. Pattern Recognition, 2013, 46(3): 1020-1038.

[2] 黄长专,王彪,杨忠.图像分割方法研究[J].计算机技术与发展, 2009, 19(6): 76-79.

    HUANG Changzhuan, WANG Biao, YANG Zhong. Research on the methods of image segmentation[J].Computer Technology and Development, 2009, 19(6): 76-79.

[3] SITANSHU G, ASIM M. Infrared image segmentation using enhanced fuzzy C-means clustering for automatic detection systems[C]∥2011 IEEE International Conference on Fuzzy Systems (FUZZ), 2011: 944-949.

[4] JAVIER S H, UNIV P M, ESTIBALIZ M L, et al. Improving parameters selection of a seeded region growing method for multiband image segmentation[J]. IEEE Latin America Transactions, 2015, 13(3): 843-849.

[5] 龚劬, 倪麟, 唐萍峰等. 改进的三维Otsu图像分割快速算法[J]. 计算机工 程与应用, 2014,50(6): 171-174.

    GONG Qu, NI Ling, TANG Pingfeng, et al. An improved fast segmentation algorithm for 3D Otsu images[J]. Computer Engineering and Applications, 2014,50(6): 171-174.

[6] 马文萍,黄媛媛,李豪等.基于粗糙集与差分免疫模糊聚类算法的图像分割[J].软件学报,2014, 25(11): 2675-2689.

    MA Wenping, HUANG Yuanyuan, LI Hao, et al. Image segmentation based on rough set and differential immune fuzzy clustering algorithm[J], Journal of Software, 2014, 25(11): 2675-2689.

[7] 魏英, 田宝玉, 孙晶晶等. 利用对称区域生长算法实现三维ICT图像的快速分割[J].光学技术, 2011,37(2): 183-187.

    WEI Ying, TIAN Baoyu, SUN Jingjing, et al. Fast segmentation of 3D-ICT images by symmetric region growing method[J]. Optical technique, 2011,37(2): 183-187.

[8] ZUCKER S W. Region growing: Childhood and adolescence[J]. Computer Graphics Image Processing, 1976,(5): 382-399.

[9] 高飞. MATLAB图像处理375例[M].北京:人民邮电出版社, 2015: 251.

    GAO Fei. 375 cases of MATLAB image processing[M]. Beijing: Posts and Telecommunications Press, 2015: 251.

[10] 郑倩.医学图像分割方法研究及其应用[D].广州:南方医科大学, 2014.

    ZHEN Qian. Research and application of medical image segmentation methods[D]. Guangzhou: Southern Medical University, 2014.

[11] 张玲,郭磊民,何伟等.一种基于最大类间方差和区域生长的图像分割法[J].信息与电子工程, 2005, 3(2): 91-96.

    ZHANG Ling, GUO Leiming, HE Wei, et al. An image segmentation algorithm based on maximal variance between-class and region growing[J]. Information and Electronic Engineering, 2005, 3(2): 91-96.

[12] ANGELINA S, et al. Image segmentation based on genetic algorithm for region growth and region merging[J]. 2012 International Conference on Computing, Electronics and Electrical Technologies, ICCEET, 2012, E95- D(8): 970-974.

[13] 肖晓明,马智,蔡自兴等. 一种自适应的区域生长算法用于道路分割[J].控制 工程, 2011, 18(3): 364- 368.

    XIAO Xiaoming, MA Zhi, CAI Zixing, et al. Road image segmentation based on an adaptive region growing[J]. Control Engineering of China, 2011, 18(3): 364-368.

[14] HUA Zhen, LI Yewei, LI Jinjiang. Image segmentation algorithm based on improved visual attention model and region growing[C]∥2010 6th International Conference on Wireless Communications Networking and Mobile Computing, 2010: 1-4.

施兢业, 刘俊. 基于改进区域生长法的电力设备红外图像分割[J]. 光学技术, 2017, 43(4): 381. SHI Jingye, LIU Jun. Mentation based on modified region growing algorithm[J]. Optical Technique, 2017, 43(4): 381.

本文已被 4 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!