Content Based Image Retrieval Techniques - Review |
Author(s): |
| Abhishek Kumar Shrivastava , Shriram College of Engineering & Management, Gwalior, India; Abhishek Singh Tomar, Shriram College of Engineering & Management, Gwalior, India; Shweta Agrawal, Shriram College of Engineering & Management, Gwalior, India |
Keywords: |
| Content Based Image Retrieval (CBIR), the Color Moment, The Support Vector Machine, The GABOR Filter |
Abstract |
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Content Based Image Retrieval (CBIR) is testing undertaking which recovers the related pictures from the immense database. The last decade has experimental the introduction of promising CBIR systems and endorsed applications in a variety of categories. In this paper, a review on best in class CBIR including common sense and hypothetical work is proposed. The expectation of PC vision is to arrangement picture recovery in light of substance properties like; shape, color, textures for the most part encoded as highlight vectors. In this article following CBIR techniques talk about Relevance Feedback, Semantic Template, the Wavelet Transform, the Gabor Filter and the Support Vector Machine. Moreover, challenges and applications that emerged to support CBIR research have been discussed in this work. |
Other Details |
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Paper ID: IJSRDV6I20869 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 1349-1353 |
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