基于颜色和纹理特征的胶囊内镜图像分类Capsule endoscope image classification based on color and texture features
徐婷婷,吉晓东,李文华,包志华
摘要(Abstract)：
针对常用的计算机辅助分析方法受消化道气泡、光照和拍摄角度等影响难以对胶囊内镜图像取得较好的分类效果的问题,提出一种结合颜色矩、小波变换和共生矩阵的特征提取方法,并用SVM将图像分为健康和病变两类。计算HSV空间去噪后图像的颜色矩,同时采用小波变换选择中高频带后重构图像并计算其共生矩阵特征值,将提取出的特征值归一化,作为SVM的输入进行训练和分类。实验结果表明,该方法正确率可达98.88%,相比其他方法取得了更好的分类结果。
关键词(KeyWords)： 胶囊内镜;图像分类;特征提取;小波变换;颜色矩;共生矩阵
基金项目(Foundation): 国家自然科学基金资助项目(61401238);; 江苏省自然科学基金资助项目(BK20140433);; 南通市科技计划项目(GY12016016)~~
作者(Author): 徐婷婷,吉晓东,李文华,包志华
DOI: 10.16652/j.issn.1004-373x.2018.19.014
参考文献(References)：
- [1]邓江洪,赵领.多特征筛选与支持向量机相融合的图像分类模型[J].吉林大学学报(理学版),2016,54(4):862-866.DENG Jianghong,ZHAO Ling. Image classification model with multiple feature selection and support vector machine[J]. Journal of Jilin University(science edition),2016,54(4):862-866.
- [2]李凯旋,刘哲星,吕庆文,等.基于小波变换的胶囊内镜图像检索[J].现代消化及介入诊疗,2011,16(2):77-81.LI Kaixuan,LIU Zhexing,LüQingwen,et al. Capsule endoscopic image retrieval based on wavelet transform[J]. Modern digestion&intervention,2011,16(2):77-81.
- [3] LI B,MENG Q H. Automatic polyp detection for wireless capsule endoscopy images[J]. Expert systems with applications,2012,39(12):10952-10958.
- [4] CHARISIS V S,KATSIMEROU C,HADJILEONTIADIS L J,et al. Computer-aided capsule endoscopy images evaluation based on color rotation and texture features:an educational tool to physicians[C]//Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems. Porto:IEEE,2013:203-208.
- [5]邹月娴,霍佳森,刘吉,等.基于特征融合的WCE图像检索[J].计算机科学,2013,40(z2):320-324.ZOU Yuexian,HUO Jiasen,LIU Ji,et al. WCE image retrieval by using fused feature[J]. Computer science,2013,40(S2):320-324.
- [6]詹昌飞,蔡轶珩,盛楠.基于颜色特征和Sift特征的胶囊内镜图像检索[J].测控技术,2016,35(5):11-15.ZHAN Changfei,CAI Yiheng,SHENG Nan. Capsule endoscopic image retrieval combined color feature with sift feature[J]. Measurement&control technology,2016,35(5):11-15.
- [7] NEZHADIAN F K,RASHIDI S. Palmprint verification based on textural features by using Gabor filters based GLCM and wavelet[C]//Proceedings of the 2nd Conference on Swarm Intelligence and Evolutionary Computation. Kerman:IEEE,2017:112-117.
- [8] STRICKER A M A,ORENGO M. Similarity of color images[C]//Proceedings of 1995 Conference on Storage and Retrieval for Image and Video Databases III. Bellingham:Society of Photo-Optical Instrumentation Engineers,1995:381-392.
- [9]张晓雪.基于结构特征直方图的图像检索[D].长春:东北师范大学,2014.ZHANG Xiaoxue. Image retrieval based on structural feature histogram[D]. Changchun:Northeast Normal University,2014.
- [10]丁军娣,董燕,户卫东.基于角点特征的图像检索新方法[J].计算机应用与软件,2015,32(3):212-214.DING Jundi,DONG Yan,HU Weidong. A novel method for image retrieval based on corner features[J]. Computer applications and software,2015,32(3):212-214.
- [11] HARALICK R M. Statistical and structural approaches to texture[J]. Proceedings of the IEEE,1979,67(5):786-804.
- [12] YU P S,CHEN S T,CHANG I F. Support vector regression for real-time flood stage forecasting[J]. Journal of hydrology,2006,328(3):704-716.
- [13]马乐宽,邱瑀,赵越,等.基于改进的神经网络与支持向量机的小流域日径流量预测研究[J].水资源与水工程学报,2016,27(5):23-27.MA Lekuan,QIU Yu,ZHAO Yue,et al. Prediction of daily runoff in a small watershed based on improved neural network and support vector machine[J]. Journal of water resources&water engineering,2016,27(5):23-27.
- [14]李凯旋,孙宇千,刘哲星,等.基于模糊纹理谱的胶囊内窥图像识别[J].计算机工程,2012,38(19):229-232.LI Kaixuan,SUN Yuqian,LIU Zhexing,et al. Capsule endoscopic image recognition based on fuzzy texture spectrum[J].Computer engineering,2012,38(19):229-232.