Gulpi Qorik Oktagalu Pratamasunu, Zhencheng Hu, A. Arifin, A. Yuniarti, D. A. Navastara, Arya Yudhi Wijaya, Wijayanti Nurul Khotimah, A. Asano
{"title":"Image thresholding based on index of fuzziness and fuzzy similarity measure","authors":"Gulpi Qorik Oktagalu Pratamasunu, Zhencheng Hu, A. Arifin, A. Yuniarti, D. A. Navastara, Arya Yudhi Wijaya, Wijayanti Nurul Khotimah, A. Asano","doi":"10.1109/IWCIA.2015.7449483","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an automatic image thresholding method based on an index of fuzziness and a fuzzy similarity measure. This work aims at overcoming the limitation of the existing method which is semi-supervised. Using an index of fuzziness, two initial regions of gray levels located at the boundaries of the histogram are defined based on the fuzzy region. Then the threshold point is found by using a fuzzy similarity measure. No prior knowledge of the image is required. Experiments on practical images illustrate the effectiveness of the proposed method.","PeriodicalId":298756,"journal":{"name":"2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCIA.2015.7449483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this paper, we propose an automatic image thresholding method based on an index of fuzziness and a fuzzy similarity measure. This work aims at overcoming the limitation of the existing method which is semi-supervised. Using an index of fuzziness, two initial regions of gray levels located at the boundaries of the histogram are defined based on the fuzzy region. Then the threshold point is found by using a fuzzy similarity measure. No prior knowledge of the image is required. Experiments on practical images illustrate the effectiveness of the proposed method.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
