A Review on Content Based Image RetrievalTechniques

Authors(3) :-Dahale Sunil V, Dr. S. B. Thorat, Dr. P. K. Butey

Content based image retrieval (CBIR) has been one of the furthermost significant research areas in computer science for the last period. A retrieval method which associations color and texture feature is proposed in this. Computer vision and digital image processing are valuable for content based image retrieval. Basically, computer vision systems try to retrieve an image to a user-defined description or pattern (e.g., shape sketch, image color etc.). The objective of computer vision is to provision image retrieval based on content properties like; shape, color, textures usually en coded in the form of feature vectors. In this paper following CBIR techniques discussed Relevance Feedback, Semantic Template, Wavelet Transform, Gabor Filter and Support Vector Machine.

Content-Based Image Retrieval (CBIR), Feature Extraction, Wavelets, Gabor, Vector Machine.

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Publication Details

Published in : Volume 3 | Issue 5 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 385-390
Manuscript Number : IJSRSET1734104
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Dahale Sunil V, Dr. S. B. Thorat, Dr. P. K. Butey, " A Review on Content Based Image RetrievalTechniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.385-390, July-August-2017.
Journal URL : http://ijsrset.com/IJSRSET1734104

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