{"title":"Low-contrast images segmentation based on the Fourier spectrum approximation","authors":"Y.V. Martyshevsky, Y. Sharopin","doi":"10.1109/APEIE.2000.913129","DOIUrl":null,"url":null,"abstract":"In the most analysis and interpretation problems, the segmentation procedure is the key one: it allows to separate an image into parts, which are informatively interpreted and correspond to different objects in the image analyzed. It is shown that approximating the Fourier transform spectrum module of the image allows to approximately increase the contrast by 3.5 times. The results of this research show an acceptability of the suggested method for segmentation of low-contrast images.","PeriodicalId":184476,"journal":{"name":"2000 5th International Conference on Actual Problems of Electronic Instrument Engineering Proceedings. APEIE-2000. Devoted to the 50th Anniversary of Novosibirsk State Technical University. Vol.1 (Cat","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 5th International Conference on Actual Problems of Electronic Instrument Engineering Proceedings. APEIE-2000. Devoted to the 50th Anniversary of Novosibirsk State Technical University. Vol.1 (Cat","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEIE.2000.913129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the most analysis and interpretation problems, the segmentation procedure is the key one: it allows to separate an image into parts, which are informatively interpreted and correspond to different objects in the image analyzed. It is shown that approximating the Fourier transform spectrum module of the image allows to approximately increase the contrast by 3.5 times. The results of this research show an acceptability of the suggested method for segmentation of low-contrast images.
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