兰蓉,王淑敏

• 1:西安邮电大学通信与信息工程学院

摘要(Abstract)：

针对无中心模糊C-均值(Center-Free Fuzzy C-Means, CFFCM)聚类算法未考虑像素的纹理特征及空间信息，且时间复杂度高的问题，提出一种基于直觉模糊局部二值模式(Intuitionistic Fuzzy Local Binary Pattern, IFLBP)及空间隶属度相似性改进的CFFCM算法。该算法结合像素的局部及非局部空间信息，设计新的空间隶属度相似性计算公式，以降低CFFCM算法的时间复杂度。同时，基于直觉模糊集理论，利用直觉模糊局部二值模式算子提取图像的纹理信息，并将其引入到目标函数中，以改善算法对于具有复杂纹理特性图像的分割精度。仿真实验结果表明，改进算法有效提升了运算速度以及图像分割性能。

关键词(KeyWords)： 图像分割;无中心模糊C-均值聚类;直觉模糊局部二值模式;局部空间信息;非局部空间信息

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(62071379,62106196);; 陕西省教育厅专项科研计划项目(20JK0904);; 西安邮电大学西邮新星团队计划项目(xyt2016-01)

作者(Author): 兰蓉,王淑敏

DOI: 10.13682/j.issn.2095-6533.2022.01.010

参考文献(References)：

• [1] 兰蓉，韩天玥.融合特征自适应抑制式模糊聚类彩色图像分割[J].西安邮电大学学报，2021,26(5):89-100.LAN R,HAN T Y.Adaptively suppressed fuzzy clustering color image segmentation with fused features[J].Journal of Xi'an University of Posts and Telecommunications,2021,26(5):89-100.(in Chinese)
• [2] WANG C,PEDRYCZ W,LI Z W,et al.G-image segmentation:Similarity-preserving fuzzy C-means with spatial information constraint in wavelet space[J].IEEE Transactions on Fuzzy Systems,2021,29(12):3887-3898.
• [3] 赵凤，李超琦.基于多目标区间值模糊聚类的含噪图像分割[J].西安邮电大学报，2018,23(5):9-17.ZHAO F,LI C Q.A multi-objective interval valued fuzzy clustering algorithm for noisy image segmentation[J].Journal of Xi'an University of Posts and Telecommunications,2018,23(5):9-17.(in Chinese)
• [4] BEZDEK J C,ROBERT E,WILLIAM F.FCM:The fuzzy C-means clustering algorith[J].Computers & Geosciences,1984,10(2-3):191-203.
• [5] DING J D,MA R,HU X Q,et al.Fuzzy C-means revisited:Towards a cluster center free reformulation[C]// Proceedings of the 2010 Chinese Conference on Pattern Recognition (CCPR).Chongqing:IEEE,2010:1-5.
• [6] BAI X Z,CHEN Z G,LIU M M,et al.Center-free PFCM for MRI brain image segmentation[C]//Proceedings of the 2015 IEEE International Conference on Image Processing(ICIP).Quebec City:IEEE,2015:656-660.
• [7] BAI X,ZHANG Y,LIU H,et al.Intuitionistic CFFCM clustering for MR brain image segmentation[J].IEEE Journal of Biomedical and Health Informatics,2019,23(5):2039-2051.
• [8] 肖满生，肖哲，文志诚，等.一种空间相关性与隶属度平滑的FCM改进算法[J].电子与信息学报，2017,39(5):1123-1129.XIAO M S,XIAO Z,WEN Z C,et al.Improved FCM clustering algorithm based on spatial correlation and membership smoothing[J].Journal of Electronics & Information Technology,2017,39(5):1123-1129.(in Chinese)
• [9] ZHAO F,JIAO L,LIU H.Fuzzy cmeans clustering with non local spatial information for noise image segmentation[J].Frontiers of Computer Science in China,2011,5(1):45-56.
• [10] 曹雪红，高梦飞，范九伦，等.基于非局部信息的截集式PCM图像分割算法[J].西安邮电大学学报，2019,24(4):43-49.CAO X H,GAO M F,FAN J L,et al.Cutset-type possibilistic C-means image segmentation algorithm based on nonlocal spatial information[J].Journal of Xi'an University of Posts and Telecommunications,2019,24(4):43-49.
• [11] 兰蓉，林洋.抑制式非局部空间直觉模糊C-均值图像分割算法[J].电子与信息学报，2019,41(6):1472-1479.LAN R,LIN Y.Suppressed non-local spatial intuitionistic fuzzy C-means image segmentation algorithm[J].Journal of Electronics & Information Technology,2019,41(6):1472-1479.(in Chinese)
• [12] ANSARI M D,GHRERA S P,MISHRA A R.Texture feature extraction using intuitionistic fuzzy local binary pattern[J].Journal of Intelligent Systems,2020,29(1):19-34.
• [13] KERAMIDAS E G,LAKOVIDIS D,MAROULIS D E.Fuzzy binary patterns for uncertainty-aware texture representation[J].Electronic Letters on Computer Vision and Image Analysis,2011,10(1):63-78.
• [14] ARBELAEZ P,MAIRE M,FOWLKES C,et al.Contour detection and hierarchical image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(5):898-916.
• [15] 邹耀斌，雷帮军，臧兆祥，等.归一化互信息量最大化导向的自动阈值选择方法[J].自动化学报，2019,45(7):1373-1385.ZHOU Y B,LEI B J,ZANG Z X,et al.Automatic threshold selection guided by maximizing normalized mutual information[J].Acta Automatica Sinica,2019,45(7):1373-1385.(in Chinese)
• [16] 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.
• [17] COVOES T F,HRUSCHK E R.A study of K-means based algorithm for constrained clustering[J].Intelligent Data Analysis,2013,17(3):485-505.
• [18] SERIKAWA S,LU H.Underwater image dehazing using joint trilateral filter[J].Computers & Electrical Engineering,2014,40(1):41-50.