Digital Image Processing

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HSV and HVC Color Space Comparison for Content Based Image Retrieval


Affiliations
1 Department of Computer Engineering & IT at College of Engineering, Pune, India
     

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Color is a lower level feature, robust in nature and itsappearance changes as view angle changes. In color image processing each pixel in image is taken into account. In this paper various measures of color distribution implemented. These are color histograms, color coherence vector (CCV), annular, angular and hybrid histograms and are compared in two different color spaces HSV and HVC using average precision recall. Experiments show that CCV and hybrid histograms produced better results in HSV color space.


Keywords

Content-Based Image Retrieval System, Color Histograms, HSV and HVC Color Space.
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  • HSV and HVC Color Space Comparison for Content Based Image Retrieval

Abstract Views: 280  |  PDF Views: 3

Authors

Jyoti A. Manoorkar
Department of Computer Engineering & IT at College of Engineering, Pune, India

Abstract


Color is a lower level feature, robust in nature and itsappearance changes as view angle changes. In color image processing each pixel in image is taken into account. In this paper various measures of color distribution implemented. These are color histograms, color coherence vector (CCV), annular, angular and hybrid histograms and are compared in two different color spaces HSV and HVC using average precision recall. Experiments show that CCV and hybrid histograms produced better results in HSV color space.


Keywords


Content-Based Image Retrieval System, Color Histograms, HSV and HVC Color Space.