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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 1, JANUARY 2017

Multi-Feature Extraction and Matching Approach for Image Retrieval: A Review

Prof. N. R. Chopde, Miss P. A Rewaskar

DOI: 10.17148/IJARCCE.2017.6174

Abstract: For finding the images has become a great need to developing an efficient technique. Image Retrieval (IR) is a significant and increasingly popular approach that helps in the retrieval of image data from a huge collection. Image representation based on certain features helps in retrieval process. Three important visual features of an image include Color, Texture, Frequency,color histogram is most commonly used color representation color histogram gives better retrieval accuracy.When these features are extracted then various matching techniques are discussed,by using this techniques get the accurate image related to a query image.



Keywords: Color, Texture Frequency and Histogram.

How to Cite:

[1] Prof. N. R. Chopde, Miss P. A Rewaskar, “Multi-Feature Extraction and Matching Approach for Image Retrieval: A Review,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6174