{"title":"利用量子点元胞自动机进行阈值分割","authors":"B. Sen, Anshu S. Anand, Tanumoy Adak, B. Sikdar","doi":"10.1109/INNOVATIONS.2011.5893848","DOIUrl":null,"url":null,"abstract":"Quantum-dot Cellular Automata(QCA), a promising alternative to CMOS technology, can provide a powerful and efficient computing platform for image processing which has heavy computational requirements. Image thresholding is one such image processing technique that plays a significant role in applications of image segmentation for its intuitive properties and simplicity. This work proposes an efficient architecture to carry out thresholding in image processing. It is developed around QCA technology and provides significant improvement over the existing approach.","PeriodicalId":173102,"journal":{"name":"2011 International Conference on Innovations in Information Technology","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Thresholding using Quantum-dot Cellular Automata\",\"authors\":\"B. Sen, Anshu S. Anand, Tanumoy Adak, B. Sikdar\",\"doi\":\"10.1109/INNOVATIONS.2011.5893848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantum-dot Cellular Automata(QCA), a promising alternative to CMOS technology, can provide a powerful and efficient computing platform for image processing which has heavy computational requirements. Image thresholding is one such image processing technique that plays a significant role in applications of image segmentation for its intuitive properties and simplicity. This work proposes an efficient architecture to carry out thresholding in image processing. It is developed around QCA technology and provides significant improvement over the existing approach.\",\"PeriodicalId\":173102,\"journal\":{\"name\":\"2011 International Conference on Innovations in Information Technology\",\"volume\":\"152 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Innovations in Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INNOVATIONS.2011.5893848\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Innovations in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INNOVATIONS.2011.5893848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantum-dot Cellular Automata(QCA), a promising alternative to CMOS technology, can provide a powerful and efficient computing platform for image processing which has heavy computational requirements. Image thresholding is one such image processing technique that plays a significant role in applications of image segmentation for its intuitive properties and simplicity. This work proposes an efficient architecture to carry out thresholding in image processing. It is developed around QCA technology and provides significant improvement over the existing approach.
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