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  • 标题:Content Based Retrieval of Multiple Objects
  • 本地全文:下载
  • 作者:Blessy Mariam Mathews ; Dr. Jharna Majumdar
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:7
  • DOI:10.15680/ijircce.2015.03071130
  • 出版社:S&S Publications
  • 摘要:We look around us and we see most of our information is represented in the form of images. The imagecollections in different day-to-day areas, like medical field, crime prevention, education, military, photographyarchives, geographical and remote sensing systems, the World Wide Web, have been growing at a tremendous rate.This rapid growth in the size of image databases in various fields has motivated the need to develop tools to query theimage databases. One such tool is the Content Based Image Retrieval Systems (CBIR). There has been a keen interestamong researchers on CBIR. Research in this area has been an on-going work for over the decades. This paperaddresses the problem of retrieving images from the database when the query image contains multiple objects. Thispaper proposes the use of Component Labeling for the detection and extraction of multiple objects. Further, featureextraction is carried out on these individual objects to process the query image and to fetch the matching images fromthe database.
  • 关键词:CBIR; Component Labeling; Feature Extraction; Image Retrieval; Image Similarity
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