计算机科学 ›› 2021, Vol. 48 ›› Issue (8): 111-117.doi: 10.11896/jsjkx.200700003
乔颖婧, 高保禄, 史瑞雪, 刘璇, 王朝辉
QIAO Ying-jing, GAO Bao-lu, SHI Rui-xue, LIU Xuan, WANG Zhao-hui
摘要: 针对FCM算法在分割脑MRI图像时存在噪声敏感性和初始聚类中心随机性的问题,提出一种融合图像Tamura纹理特征的改进FCM图像分割算法。首先提取图像的Tamura纹理特征,将其与灰度特征线性加权构成融合特征。然后使用模糊邻域关系计算像素点的密度,将其与距离关系结合自适应选取初始聚类中心。最后使用融合特征作为更新隶属度和聚类中心的特征约束。实验利用该方法与FCM,D-FCM,WKFCM方法对Brain Web脑MRI数据集中的图像进行分割,并在抗噪性、准确性和运行效率方面进行了比较。实验结果表明,所提算法能获取更优的初始聚类中心,在处理噪声和灰度不均匀图像上表现出更好的鲁棒性,能够快速有效地分割脑MRI图像。
中图分类号:
[1]KOUHI A,SEYEDARABI H,AGHAGOLZADEH A.Robust FCM clustering algorithm with combined spatial constraint and membership matrix local information for brain MRI segmentation[J].Expert Systems with Applications,2019,146:113159. [2]ALRUWAILI M,SIDDIQI M H,JAVED M A.A robust clustering algorithm using spatial fuzzy C-means for brain MR images[J].Egyptian Informatics Journal,2019,21(1):51-66. [3]GHOSH P,MALI K,DAS S K.Chaotic firefly algorithm-based fuzzy C-means algorithm for segmentation of brain tissues in magnetic resonance images[J].Journal of Visual Communication &Image Representation,2018,54(JUL.):63-79. [4]LU H Q,GE H W.Fuzzy C-means Method for Brain Magnetic Resonance Image Segmentation and Bias Field Correction[J].Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2018,30(4):518-529. [5]WADHWA A,BHARDWAJ A,SINGH V.A review on brain tumor segmentation of MRI images[J].Magnetic Resonance Imaging,2019,61:247-259. [6]LIU J,LI M,WANG J X,et al.A survey of MRI-based brain tumor segmentation methods[J].Tsinghua Science and Technology,2014,19(6):578-595. [7]DING X F,HE K L.A Homogeneous Pieces based FCM Algorithm for Image Segmentation[J].Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2017,29(3):377-381. [8]WANGW N,MA Y,JIANG Y T,et al.Research on fuzzy clustering image segmentation algorithm based on fractional particle swarm optimization[J].Modern Electronics Technique,2019,42(11):59-63. [9]GUO L,CHEN L,CHEN C L P,et al.Integrating guided filter into fuzzy clustering for noisy image segmentation[J].Digital Signal Processing,2018,83:235-248. [10]ALIPOUR S,SHANBEHZADEH J.Fast automatic medical ima-ge segmentation based on spatial kernel fuzzy c-means on level set method[J].Machine Vision & Applications,2014,25(6):1469-1488. [11]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. [12]PEI H X,ZHENG Z R,WANG C,et al.D-FCM:Density based fuzzy c-means clustering algorithm with application in medical image segmentation[J].Procedia Computer Science,2017,122:407-414. [13]REN T B,WANG H H,FENG H L.Study on the improvedfuzzy clustering algorithm and its application in brain image segmentation[J].Applied Soft Computing Journal,2019,81:105503. [14]YU W Y,KANG X D,GE W J,et al.Image Classification and Identification through SVM Based on Fuzzy Kernel Clustering [J].Computer Science,2015,42(3):307-310. [15]TAMURA H,MORI S,YAMAWAKI T.Textural FeaturesCorresponding to Visual Perception[J].IEEE Transactions on Systems Man & Cybernetics,1978,8(6):460-473. [16]DU M,DING S,XUE Y.A robust density peaks clustering algorithm using fuzzy neighborhood[J].International Journal of Machine Learning & Cybernetics,2017,9(7):1131-1140. [17]LIU C,WU C M.Robust picture fuzzy clustering segmentation algorithm based on fractional information[J].Computer Engineering and Design,2019,40(3):774-781,855. [18]SINGH C,BALA A.A DCT-based local and non-local fuzzy C-means algorithm for segmentation of brain magnetic resonance images[J].Applied Soft Computing,2018,68:447-457. [19]LAI J,ZHU H,LING X.Segmentation of Brain MR Images by Using Fully Convolutional Network and Gaussian Mixture Mo-del with Spatial Constraints[J].Mathematical Problems in Engineering,2019,2019:1-14. [20]SHANKER R,BHATTACHARYA M.Brain tumor segmentation of normal and pathological tissues using K-mean clustering with fuzzy C-mean clustering[J].Lecture Notes in ComputationalVision and Biomechanics,2017,27:286-296. |
[1] | 毛森林, 夏镇, 耿新宇, 陈剑辉, 蒋宏霞. 基于密度敏感距离和模糊划分的改进FCM算法 FCM Algorithm Based on Density Sensitive Distance and Fuzzy Partition 计算机科学, 2022, 49(6A): 285-290. https://doi.org/10.11896/jsjkx.210700042 |
[2] | 崔国楠, 王立松, 康介祥, 高忠杰, 王辉, 尹伟. 结合多目标优化算法的模糊聚类有效性指标及应用 Fuzzy Clustering Validity Index Combined with Multi-objective Optimization Algorithm and Its Application 计算机科学, 2021, 48(10): 197-203. https://doi.org/10.11896/jsjkx.200900061 |
[3] | 张天柱, 邹承明. 使用模糊聚类的胶囊网络在图像分类上的研究 Study on Image Classification of Capsule Network Using Fuzzy Clustering 计算机科学, 2019, 46(12): 279-285. https://doi.org/10.11896/jsjkx.190200315 |
[4] | 冀进朝,赵晓威,何飞,胡英慧,白天,李在荣. 基于模糊质心的混合属性数据模糊加权聚类算法 Fuzzy Weighted Clustering Algorithm with Fuzzy Centroid for Mixed Data 计算机科学, 2018, 45(2): 109-113. https://doi.org/10.11896/j.issn.1002-137X.2018.02.019 |
[5] | 邢瑞康, 李成海. 基于直觉模糊集理论的IDS方法研究 Research on Intrusion Detection System Method Based on Intuitionistic Fuzzy Sets 计算机科学, 2018, 45(11A): 344-348. |
[6] | 王宏杰,师彦文. 结合初始中心优化和特征加权的K-Means聚类算法 K-Means Clustering Algorithm Based on Initial Center Optimization and Feature Weighted 计算机科学, 2017, 44(Z11): 457-459. https://doi.org/10.11896/j.issn.1002-137X.2017.11A.097 |
[7] | 郑奇斌,刁兴春,曹建军. 结合缺失模式的不完整数据模糊聚类 Fuzzy Clustering Algorithm for Incomplete Data Considering Missing Pattern 计算机科学, 2017, 44(12): 58-63. https://doi.org/10.11896/j.issn.1002-137X.2017.12.011 |
[8] | 耿宗科,王长宾,张振国. 基于模糊c-means与自适应粒子群优化的模糊聚类算法 Fuzzy c-means and Adaptive PSO Based Fuzzy Clustering Algorithm 计算机科学, 2016, 43(8): 267-272. https://doi.org/10.11896/j.issn.1002-137X.2016.08.054 |
[9] | 陈小东,孙力娟,韩崇,郭剑. 基于模糊聚类的数据流概念漂移检测算法 Detecting Concept Drift of Data Stream Based on Fuzzy Clustering 计算机科学, 2016, 43(4): 219-223. https://doi.org/10.11896/j.issn.1002-137X.2016.04.045 |
[10] | 冯晨菲,杨燕,王红军,徐英歌,王韬. 一种基于数据相关性的半监督模糊聚类集成方法 Semi-supervised Fuzzy Clustering Ensemble Approach with Data Correlation 计算机科学, 2015, 42(6): 41-45. https://doi.org/10.11896/j.issn.1002-137X.2015.06.009 |
[11] | 郭华峰,赵建民,潘修强. 自适应抑制式模糊C-回归模型算法 Adapting Suppressed Fuzzy C-regression Models Algorithm 计算机科学, 2015, 42(2): 274-276. https://doi.org/10.11896/j.issn.1002-137X.2015.02.057 |
[12] | 董世龙,陈宁江,谭瑛,何子龙,朱莉蓉. 面向云环境的集群资源模糊聚类划分算法的优化 Optimization of Cluster Resource Fuzzy Clustering Partition Algorithm for Cloud Computing 计算机科学, 2014, 41(9): 104-109. https://doi.org/10.11896/j.issn.1002-137X.2014.09.020 |
[13] | 张千,梁鸿,郉永山. 云计算环境下基于模糊聚类的并行调度策略研究 Cloud Parallel Task Scheduling Algorithm Based on Fuzzy Clustering 计算机科学, 2014, 41(8): 75-80. https://doi.org/10.11896/j.issn.1002-137X.2014.08.016 |
[14] | 沈洁,郭莉森. 社会网络的模糊聚类理论及其实践 Social Network’s Fuzzy Cluster Theory and its Applications 计算机科学, 2013, 40(Z11): 63-67. |
[15] | 刘颖,张柏,王爱莲,桑娟,何咏梅. 一种基于半监督集成SVM的土地覆盖分类模型 Ensemble Model with Semisupervised SVM for Remote Sensing Land Cover Classification 计算机科学, 2013, 40(7): 206-210. |
|