Similarity Measure Based Retrieval System Using Color and Texture Descriptors: An Experimental Analysis
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International Journal of Recent Engineering Science (IJRES) |  |
| © 2014 by IJRES Journal | ||
| Volume-1 Issue-1 |
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| Year of Publication : 2014 | ||
| Authors : Dr.P.Sumathi, C.Sudha |
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| DOI : 10.14445/23497157/IJRES-V1I1P102 |
How to Cite?
Dr.P.Sumathi, C.Sudha, "Similarity Measure Based Retrieval System Using Color and Texture Descriptors: An Experimental Analysis," International Journal of Recent Engineering Science, vol. 1, no. 1, pp. 7-11, 2014. Crossref, https://doi.org/10.14445/23497157/IJRES-V1I1P102
Abstract
Content Based Image Retrieval aims at searching image libraries for specific features such as Color, Texture and Shape. We compare image retrieval systems based on the combination of two complementary features: on one hand, we propose a method to find the dominant colors in images to better capture the color properties of the original images; on the other hand, to increase the retrieval rate, we make use of Edge Histogram descriptor to acquire the texture features. It was seen that the proposed methodology surpasses other methods in terms of not only the quantitative measure (similarity metric), but also retrieval capabilities. This methodology finds its use in image retrieval, online shopping and object recognition.
Keywords
Color and Texture Features, Similarity metrics, Retrieval Rate
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