A Review on Image Retrieval Techniques
Author(s) -
M.S. Meharban,
Dr.S. Priya
Publication year - 2016
Publication title -
bonfring international journal of advances in image processing
Language(s) - English
Resource type - Journals
eISSN - 2277-503X
pISSN - 2250-1053
DOI - 10.9756/bijaip.8136
Subject(s) - image retrieval , automatic image annotation , computer science , visual word , search engine indexing , information retrieval , content based image retrieval , image texture , digital image , artificial intelligence , computer vision , image (mathematics) , task (project management) , digital image processing , mobile device , image processing , world wide web , engineering , systems engineering
Rapid and explosive growth of digital libraries due to the invention of Web cameras, digital cameras, and mobile phones equipped with such devices is making the database management by human annotation an extremely tedious and clumsy task. Image indexing and retrieval is very important research topic that has gained more attention in the current scenario. So in the present situation content based image retrieval is becoming necessary for exact and fast image retrieval. Content Based Image Retrieval (CBIR) is one of the image retrieval techniques which use visual features of an image such as color, shape, and texture features etc. In this paper presents techniques for extracting low level features, various distance measures for measuring the similarity of image and performance measures.
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