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  • 标题:Color, Texture and Shape Hybrid Features Based Image Retrieval System
  • 本地全文:下载
  • 作者:Deepa Dubey ; Vivek Suryawanshi
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:4
  • 页码:1795-1800
  • 出版社:TechScience Publications
  • 摘要:In field of picture preparing and investigationContent based picture recovery is an essential issue as there isfast development in putting away and catching sight andsound information with advanced gadgets. Albeit broadstudies, led and picture finding is coveted from interactivemedia databases and it is extremely testing and open issue.This paper clarifies for the most part about the determinationof the picture highlights like shading, surface, and edge for thesubstance based picture recovery framework which utilizesthe intelligent hereditary calculation. The shading highlight isextricated by utilizing mean and standard deviation, thesurface element is separated by utilizing BDIP and BVLChighlight and the edge elements of a picture are removed byutilizing the watchful edge indicator. Extra to these, enhancedweights is ascertained by applying hereditary calculation ontwo dimensional entropy of picture. Since, Two-dimensionalentropy utilizes both the dark estimation of a pixel and thenearby normal dim estimation of it, and along these lines givesbetter results. Here the term intuitive hereditary calculation(IGA) achieves all the more near the client's need andfulfillment of picture recovery.
  • 关键词:BDIP; BVLC; Canny Edge Detector; CBIR;IGA.
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