M. Häfner, Alfred Gangl, F. Wrba, K. Thonhauser, Haiko Schmidt, C. Kastinger, A. Uhl, A. Vécsei
{"title":"k-NN、SVM和NN在共现直方图放大内镜结肠图像坑模式分类中的比较","authors":"M. Häfner, Alfred Gangl, F. Wrba, K. Thonhauser, Haiko Schmidt, C. Kastinger, A. Uhl, A. Vécsei","doi":"10.1109/ISPA.2007.4383747","DOIUrl":null,"url":null,"abstract":"Co-occurrence histograms are used as features to classify magnifying endoscope imagery with k-NN, SVM, and NN classifiers. In the k-NN classification case these histograms may improve the classification accuracy of simple ID color histograms up to 10% in the 2 classes case and up to 5% in the 6 classes case. The classification results of SVM and NN classifiers have turned out to be noncompetitive and do not improve the classification result of ID color histograms.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Comparison of k-NN, SVM, and NN in Pit Pattern Classification of Zoom-Endoscopic Colon Images using Co-Occurrence Histograms\",\"authors\":\"M. Häfner, Alfred Gangl, F. Wrba, K. Thonhauser, Haiko Schmidt, C. Kastinger, A. Uhl, A. Vécsei\",\"doi\":\"10.1109/ISPA.2007.4383747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Co-occurrence histograms are used as features to classify magnifying endoscope imagery with k-NN, SVM, and NN classifiers. In the k-NN classification case these histograms may improve the classification accuracy of simple ID color histograms up to 10% in the 2 classes case and up to 5% in the 6 classes case. The classification results of SVM and NN classifiers have turned out to be noncompetitive and do not improve the classification result of ID color histograms.\",\"PeriodicalId\":112420,\"journal\":{\"name\":\"2007 5th International Symposium on Image and Signal Processing and Analysis\",\"volume\":\"163 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 5th International Symposium on Image and Signal Processing and Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPA.2007.4383747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 5th International Symposium on Image and Signal Processing and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2007.4383747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of k-NN, SVM, and NN in Pit Pattern Classification of Zoom-Endoscopic Colon Images using Co-Occurrence Histograms
Co-occurrence histograms are used as features to classify magnifying endoscope imagery with k-NN, SVM, and NN classifiers. In the k-NN classification case these histograms may improve the classification accuracy of simple ID color histograms up to 10% in the 2 classes case and up to 5% in the 6 classes case. The classification results of SVM and NN classifiers have turned out to be noncompetitive and do not improve the classification result of ID color histograms.