{"title":"基于波区增长的渐进图像分割","authors":"O. Almiahi, V. Kanapelka","doi":"10.1109/AIC-MITCSA.2016.7759919","DOIUrl":null,"url":null,"abstract":"We propose a method of progressive segmentation of gray scale images based on wave quasi parallel region growing. In contrast to known methods of segmentation of the proposed method allows to divide the area with smoothing drops of brightness and adapt to the constraints time of segmentation.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Progressive image segmentation based on the wave region growing\",\"authors\":\"O. Almiahi, V. Kanapelka\",\"doi\":\"10.1109/AIC-MITCSA.2016.7759919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a method of progressive segmentation of gray scale images based on wave quasi parallel region growing. In contrast to known methods of segmentation of the proposed method allows to divide the area with smoothing drops of brightness and adapt to the constraints time of segmentation.\",\"PeriodicalId\":315179,\"journal\":{\"name\":\"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIC-MITCSA.2016.7759919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIC-MITCSA.2016.7759919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Progressive image segmentation based on the wave region growing
We propose a method of progressive segmentation of gray scale images based on wave quasi parallel region growing. In contrast to known methods of segmentation of the proposed method allows to divide the area with smoothing drops of brightness and adapt to the constraints time of segmentation.
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