{"title":"医学图像的卡尔曼滤波增强","authors":"P. Pandey, Sarika Jain, S. Khatri","doi":"10.1109/ICRITO.2017.8342502","DOIUrl":null,"url":null,"abstract":"In this paper, a new enhancement process is introduced for medical images. The proposed technique will help the doctors and physicians to analyze the medical images more accurately. The medical images commonly include the issues of noise, bad quality and low intensity. Due to these issues, the surgeons and physicians always faces multiple complications to detect the exact disease. We introduce in this paper repetitive use of Kalman filter for improving the quality of various medical images. Results are shown with the help of pictures.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Enhancement of medical images using Kalman filter\",\"authors\":\"P. Pandey, Sarika Jain, S. Khatri\",\"doi\":\"10.1109/ICRITO.2017.8342502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new enhancement process is introduced for medical images. The proposed technique will help the doctors and physicians to analyze the medical images more accurately. The medical images commonly include the issues of noise, bad quality and low intensity. Due to these issues, the surgeons and physicians always faces multiple complications to detect the exact disease. We introduce in this paper repetitive use of Kalman filter for improving the quality of various medical images. Results are shown with the help of pictures.\",\"PeriodicalId\":357118,\"journal\":{\"name\":\"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRITO.2017.8342502\",\"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 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRITO.2017.8342502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a new enhancement process is introduced for medical images. The proposed technique will help the doctors and physicians to analyze the medical images more accurately. The medical images commonly include the issues of noise, bad quality and low intensity. Due to these issues, the surgeons and physicians always faces multiple complications to detect the exact disease. We introduce in this paper repetitive use of Kalman filter for improving the quality of various medical images. Results are shown with the help of pictures.