{"title":"不同去噪技术去除宫颈x线图像中毒性噪声的比较","authors":"Muhammad Asim, M. Akram, A. A. Salam","doi":"10.1109/C-CODE.2017.7918943","DOIUrl":null,"url":null,"abstract":"Digital X ray images normally suffer from poor quality and one of the main reason is the presence of poison noise which is added in X rays images during acquisition process. Different de-noising techniques have been presented in literature for enhancement of x ray images. This paper presents a comparative study for extraction of noise from X-Rays images. The comparison has been done for bilateral filtering, Dual Tree Complex Wavelet Transform, Gaussian filter, Wiener filter and Non-Local Mean filters and evaluation of these techniques have been done using cervical X-Ray images from NHANES-II database. The significance of each technique has been evaluated using different performance measures.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images\",\"authors\":\"Muhammad Asim, M. Akram, A. A. Salam\",\"doi\":\"10.1109/C-CODE.2017.7918943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital X ray images normally suffer from poor quality and one of the main reason is the presence of poison noise which is added in X rays images during acquisition process. Different de-noising techniques have been presented in literature for enhancement of x ray images. This paper presents a comparative study for extraction of noise from X-Rays images. The comparison has been done for bilateral filtering, Dual Tree Complex Wavelet Transform, Gaussian filter, Wiener filter and Non-Local Mean filters and evaluation of these techniques have been done using cervical X-Ray images from NHANES-II database. The significance of each technique has been evaluated using different performance measures.\",\"PeriodicalId\":344222,\"journal\":{\"name\":\"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/C-CODE.2017.7918943\",\"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 International Conference on Communication, Computing and Digital Systems (C-CODE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/C-CODE.2017.7918943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images
Digital X ray images normally suffer from poor quality and one of the main reason is the presence of poison noise which is added in X rays images during acquisition process. Different de-noising techniques have been presented in literature for enhancement of x ray images. This paper presents a comparative study for extraction of noise from X-Rays images. The comparison has been done for bilateral filtering, Dual Tree Complex Wavelet Transform, Gaussian filter, Wiener filter and Non-Local Mean filters and evaluation of these techniques have been done using cervical X-Ray images from NHANES-II database. The significance of each technique has been evaluated using different performance measures.