{"title":"牙科x线图像增强的应用","authors":"V. Georgieva, Antoniya D. Mihaylova, P. Petrov","doi":"10.1109/TELSKS.2017.8246321","DOIUrl":null,"url":null,"abstract":"In this paper, an effective approach for dental X-ray image enhancement for detection of caries on the base of location of the lesion is presented. It consists of contrast improvement by limited adaptive histogram equalization (CLAHE) and morphological processing. Then homomorphic wavelet filter is used to remove noise components and to eliminate non-uniformity luminance distribution. Comparative experimental results are given which show the visual quality and effectiveness of the proposed approach for application in clinical diagnostics.","PeriodicalId":206778,"journal":{"name":"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"An application of dental X-ray image enhancement\",\"authors\":\"V. Georgieva, Antoniya D. Mihaylova, P. Petrov\",\"doi\":\"10.1109/TELSKS.2017.8246321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an effective approach for dental X-ray image enhancement for detection of caries on the base of location of the lesion is presented. It consists of contrast improvement by limited adaptive histogram equalization (CLAHE) and morphological processing. Then homomorphic wavelet filter is used to remove noise components and to eliminate non-uniformity luminance distribution. Comparative experimental results are given which show the visual quality and effectiveness of the proposed approach for application in clinical diagnostics.\",\"PeriodicalId\":206778,\"journal\":{\"name\":\"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELSKS.2017.8246321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSKS.2017.8246321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, an effective approach for dental X-ray image enhancement for detection of caries on the base of location of the lesion is presented. It consists of contrast improvement by limited adaptive histogram equalization (CLAHE) and morphological processing. Then homomorphic wavelet filter is used to remove noise components and to eliminate non-uniformity luminance distribution. Comparative experimental results are given which show the visual quality and effectiveness of the proposed approach for application in clinical diagnostics.