{"title":"Design Strategies for EDGE Based Image Representation System with VLSI","authors":"S. Dixit, A. Deshmukh","doi":"10.1109/ICETET.2013.34","DOIUrl":null,"url":null,"abstract":"Edges of image characterize the boundaries. It reduces amount of data and filters out useless information. It preserves structural properties of an image. Edge detection is useful for segmentation of objects, its registration and identification. So image processing algorithms are defined. Early state detection of image has been tried using VLSI architecture. A normal image and disease affected image are compared and percentage of disease has been tried to find out. Edge detection operators such as Sobel, Prewitt, Canny Edge Detector are used. Filtering of images include the elimination of noise, enhancing the edges and contours. Fast operations and efficient implementation will be considered while designing the algorithm.","PeriodicalId":440967,"journal":{"name":"2013 6th International Conference on Emerging Trends in Engineering and Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 6th International Conference on Emerging Trends in Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETET.2013.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Edges of image characterize the boundaries. It reduces amount of data and filters out useless information. It preserves structural properties of an image. Edge detection is useful for segmentation of objects, its registration and identification. So image processing algorithms are defined. Early state detection of image has been tried using VLSI architecture. A normal image and disease affected image are compared and percentage of disease has been tried to find out. Edge detection operators such as Sobel, Prewitt, Canny Edge Detector are used. Filtering of images include the elimination of noise, enhancing the edges and contours. Fast operations and efficient implementation will be considered while designing the algorithm.