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Effective Distance Measures for Color-Content Based Image Retrieval


Affiliations
1 IT Department of MITCOE, Pune, India
2 Oracle Pvt. Ltd, Pune, India
     

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Content-based image retrieval systems are the challenging area of research in computer science. A retrieval method which uses color feature is implemented in this paper. Effectiveness of various distance measures such as euclidean distance, histogram intersection, histogram quadratic distance and canberra distance are also implemented to determine similarity between feature vectors. Results are compared to determine performance of each of the distance measure during image retrieval. The experimental results show that histogram quadratic distance measure produced more accurate results for image retrieval as compared to other distance measures.


Keywords

Color Histograms, Histogram Quadratic Distance, HSV Color Space, Similarity Measures.
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  • Effective Distance Measures for Color-Content Based Image Retrieval

Abstract Views: 218  |  PDF Views: 2

Authors

Jyoti A. Manoorkar
IT Department of MITCOE, Pune, India
V. M. Sapna
IT Department of MITCOE, Pune, India
Abhijit B. Manoorkar
Oracle Pvt. Ltd, Pune, India

Abstract


Content-based image retrieval systems are the challenging area of research in computer science. A retrieval method which uses color feature is implemented in this paper. Effectiveness of various distance measures such as euclidean distance, histogram intersection, histogram quadratic distance and canberra distance are also implemented to determine similarity between feature vectors. Results are compared to determine performance of each of the distance measure during image retrieval. The experimental results show that histogram quadratic distance measure produced more accurate results for image retrieval as compared to other distance measures.


Keywords


Color Histograms, Histogram Quadratic Distance, HSV Color Space, Similarity Measures.