基于自适应模糊C均值与后处理的图像分割算法

朱占龙; 王军芬

doi:doi:10.3788/LOP55.011004

激光与光电子学进展, 2018, 55 (1): 011004, 网络出版: 2018-09-10

基于自适应模糊C均值与后处理的图像分割算法下载： 1196次

Image Segmentation Based on Adaptive Fuzzy C-Means and Post Processing Correction

朱占龙 ^1,2,*王军芬 ¹

作者单位

¹ 河北地质大学信息工程学院, 河北石家庄 050031

² 河北地质大学河北省光电信息与地球探测技术重点实验室, 河北石家庄 050031

引用该论文

朱占龙, 王军芬. 基于自适应模糊C均值与后处理的图像分割算法[J]. 激光与光电子学进展, 2018, 55(1): 011004.

Zhu Zhanlong, Wang Junfen. Image Segmentation Based on Adaptive Fuzzy C-Means and Post Processing Correction[J]. Laser & Optoelectronics Progress, 2018, 55(1): 011004.

参考文献

[1] Ji Z X, Xia Y, Sun Q S, et al. Fuzzy local Gaussian mixture model for brain MR image segmentation[J]. IEEE Transactions on Information Technology in Biomedicine, 2012, 16(3): 339-347.

[2] Gong M G, Liang Y, Shi J, et al. Fuzzy c-means clustering with local information and kernel metric for image segmentation[J]. IEEE Transactions on Image Processing, 2013, 22(2): 573-584.

[3] 王蒙军, 郭林, 王霞, 等. 改进内部活动项的多通道PCNN彩色图像分割[J]. 激光与光电子学进展, 2015, 52(12): 121001.

Wang M J, Guo L, Wang X, et al. Color image segmentation based on improved internal activity multi-channel pulse coupled neural networks[J]. Laser & Optoelectronics Progress, 2015, 52(12): 121001.

[4] Adhikari S K, Sing J K, Basu D K, et al. Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images[J]. Applied Soft Computing, 2015, 34: 758-769.

[5] 聂方彦, 李建奇, 张平凤, 等. 一种基于Tsallis相对熵的图像分割阈值选取方法[J]. 激光与光电子学进展, 2017, 54(7): 071002.

Nie F Y, Li J Q, Zhang P F, et al. A threshold selection method for image segmentation based on Tsallis relative entropy[J]. Laser & Optoelectronics Progress, 2017, 54(7): 071002.

[6] Zhao F. Fuzzy clustering algorithms with self-tuning non-local spatial information for image segmentation[J]. Neurocomputing, 2013, 106(6): 115-125.

[7] 李俊威, 陈晓冬, 贾忠伟, 等. 基于光线投射法的冠脉血管腔壁分割算法[J]. 中国激光, 2015, 42(8): 0804002.

Li J W, Chen X D, Jia Z W, et al. A coronary artery lumen segmentation algorithm based on ray casting[J]. Chinese Journal of Lasers, 2015, 42(8): 0804002.

[8] Bezdek J C. A convergence theorem for the fuzzy ISODATA clustering algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980, 2(1): 1-8.

[9] Ahmed M N, Yamany S M, Mohamed N, et al. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data[J]. IEEE Transactions on Medical Imaging, 2002, 21(3): 193-199.

[10] Chen S C, Zhang D Q. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2004, 34(4): 1907-1916.

[11] SzilágyiL, BenyóZ, Szilágyi SM, et al. MR brain image segmentation using an enhanced fuzzy c-means algorithm[C]//Proceedings of the 25th Annual International Conference of the IEEE EMBS, 2003, 1: 724- 726.

[12] Cai W L, Chen S K, Zhang D Q. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation[J]. Pattern Recognition, 2007, 40(3): 825-838.

[13] Krinidis S, Chatzis V. A robust fuzzy local information c-means clustering algorithm[J]. IEEE Transactions on Image Processing, 2010, 19(5): 1328-1337.

[14] Wang Z M, Song Q, Soh Y C, et al. An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation[J]. Computer Vision and Image Understanding, 2013, 117(10): 1412-1420.

[15] Guo F F, Wang X X, Shen J. Adaptive fuzzy c-means algorithm based on local noise detecting for image segmentation[J]. IET Image Processing, 2016, 10(4): 272-279.

[16] 王保平, 范九伦, 谢维信, 等. 一种基于代价函数和模糊熵的图像分割方法[J]. 光子学报, 2003, 32(12): 1502-1505.

Wang B P, Fan J L, Xie W X, et al. An image segmentation method based on cost function and fuzzy entropy[J]. Acta Photonica Sinica, 2003, 32(12): 1502-1505.

[17] Benaichouche A N, Oulhadj H, Siarry P. Improved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correction[J]. Digital Signal Processing, 2013, 23(5): 1390-1400.

[18] 崔西希, 吴成茂. 核空间中智模糊聚类及图像分割应用[J]. 中国图象图形学报, 2016, 21(10): 1316-1327.

Cui X X, Wu C M. Neutrosophic C-means clustering in kernel space and its application in image segmentation[J]. Journal of Image and Graphics, 2016, 21(10): 1316-1327.

[19] Mukhopadhyay A, Maulik U. A multiobjective approach to MR brain image segmentation[J]. Applied Soft Computing, 2011, 11(1): 872-880.

朱占龙, 王军芬. 基于自适应模糊C均值与后处理的图像分割算法[J]. 激光与光电子学进展, 2018, 55(1): 011004. Zhu Zhanlong, Wang Junfen. Image Segmentation Based on Adaptive Fuzzy C-Means and Post Processing Correction[J]. Laser & Optoelectronics Progress, 2018, 55(1): 011004.

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