{"title":"利用直方图均衡化增强医学图像的诊断性观察","authors":"C. Bindu","doi":"10.1109/ICBAPS.2018.8527401","DOIUrl":null,"url":null,"abstract":"This paper addresses the low contrast problem of medical images. The low contrast medical images are unable to process for effective diagnosis. This problem can be overcome with this proposed novel histogram based image enhancement technique. The enhancement process starts with computing histogram values of an image. These histogram values are further used to remap the low contrast image intensity values with enhanced pixel values. The resultant enhanced image is compared with standard (basic) enhancement techniques to check the high visual clarity of the proposed algorithm.","PeriodicalId":103255,"journal":{"name":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Diagnostic Viewing of Medical Images with Histogram Equalization\",\"authors\":\"C. Bindu\",\"doi\":\"10.1109/ICBAPS.2018.8527401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the low contrast problem of medical images. The low contrast medical images are unable to process for effective diagnosis. This problem can be overcome with this proposed novel histogram based image enhancement technique. The enhancement process starts with computing histogram values of an image. These histogram values are further used to remap the low contrast image intensity values with enhanced pixel values. The resultant enhanced image is compared with standard (basic) enhancement techniques to check the high visual clarity of the proposed algorithm.\",\"PeriodicalId\":103255,\"journal\":{\"name\":\"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)\",\"volume\":\"2012 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBAPS.2018.8527401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBAPS.2018.8527401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing Diagnostic Viewing of Medical Images with Histogram Equalization
This paper addresses the low contrast problem of medical images. The low contrast medical images are unable to process for effective diagnosis. This problem can be overcome with this proposed novel histogram based image enhancement technique. The enhancement process starts with computing histogram values of an image. These histogram values are further used to remap the low contrast image intensity values with enhanced pixel values. The resultant enhanced image is compared with standard (basic) enhancement techniques to check the high visual clarity of the proposed algorithm.