{"title":"一种基于模糊逻辑的泡沫图像分割新方法","authors":"F. Daneshmand, N. Mehrshad, M. Massinaei","doi":"10.1109/PRIA.2013.6528459","DOIUrl":null,"url":null,"abstract":"The segmentation of flotation froth images is extremely challenging mainly due to the dynamic and continuous nature of the process as well as large number of closely packed bubbles of different sizes with barely detectable boundaries. All these characteristics of the froth images have complicated the development of a reliable and comprehensive segmentation algorithm. In the present work, an adaptive fuzzy model based on multi-scale and multi-directional simulation of the human visual system is developed to delineate the bubbles in the flotation froth images. The implemented model is successfully validated using some laboratory and industrial scale froth images.","PeriodicalId":370476,"journal":{"name":"2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new approach for froth image segmentation using fuzzy logic\",\"authors\":\"F. Daneshmand, N. Mehrshad, M. Massinaei\",\"doi\":\"10.1109/PRIA.2013.6528459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The segmentation of flotation froth images is extremely challenging mainly due to the dynamic and continuous nature of the process as well as large number of closely packed bubbles of different sizes with barely detectable boundaries. All these characteristics of the froth images have complicated the development of a reliable and comprehensive segmentation algorithm. In the present work, an adaptive fuzzy model based on multi-scale and multi-directional simulation of the human visual system is developed to delineate the bubbles in the flotation froth images. The implemented model is successfully validated using some laboratory and industrial scale froth images.\",\"PeriodicalId\":370476,\"journal\":{\"name\":\"2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRIA.2013.6528459\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRIA.2013.6528459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach for froth image segmentation using fuzzy logic
The segmentation of flotation froth images is extremely challenging mainly due to the dynamic and continuous nature of the process as well as large number of closely packed bubbles of different sizes with barely detectable boundaries. All these characteristics of the froth images have complicated the development of a reliable and comprehensive segmentation algorithm. In the present work, an adaptive fuzzy model based on multi-scale and multi-directional simulation of the human visual system is developed to delineate the bubbles in the flotation froth images. The implemented model is successfully validated using some laboratory and industrial scale froth images.
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