{"title":"用于医学图像的无参考对比度度量","authors":"E. Yelmanova, Y. Romanyshyn","doi":"10.1109/ELNANO.2017.7939774","DOIUrl":null,"url":null,"abstract":"The problem of no-reference measurement of generalized contrast of complex medical images is considered. The histogram-based method for no-reference measuring the generalized contrast by finding the weighted mean of all possible values of the generalized contrast which correspond to all possible values of the adaptation level for current image is proposed. The proposed method of contrast measurement is intended for automatic contrast assessment of multi-element medical images with complex structure. A comparison of the proposed and known histogram-based methods of no-reference measurement of image contrast was carried out. Examples to illustrate the effectiveness of proposed method of contrast measurement are given.","PeriodicalId":333746,"journal":{"name":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"No-reference contrast metric for medical images\",\"authors\":\"E. Yelmanova, Y. Romanyshyn\",\"doi\":\"10.1109/ELNANO.2017.7939774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of no-reference measurement of generalized contrast of complex medical images is considered. The histogram-based method for no-reference measuring the generalized contrast by finding the weighted mean of all possible values of the generalized contrast which correspond to all possible values of the adaptation level for current image is proposed. The proposed method of contrast measurement is intended for automatic contrast assessment of multi-element medical images with complex structure. A comparison of the proposed and known histogram-based methods of no-reference measurement of image contrast was carried out. Examples to illustrate the effectiveness of proposed method of contrast measurement are given.\",\"PeriodicalId\":333746,\"journal\":{\"name\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELNANO.2017.7939774\",\"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 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELNANO.2017.7939774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The problem of no-reference measurement of generalized contrast of complex medical images is considered. The histogram-based method for no-reference measuring the generalized contrast by finding the weighted mean of all possible values of the generalized contrast which correspond to all possible values of the adaptation level for current image is proposed. The proposed method of contrast measurement is intended for automatic contrast assessment of multi-element medical images with complex structure. A comparison of the proposed and known histogram-based methods of no-reference measurement of image contrast was carried out. Examples to illustrate the effectiveness of proposed method of contrast measurement are given.