A new Color Feature Extraction method Based on Dynamic Color Distribution Entropy of Neighbourhoods
One of the important requirements in image retrieval, indexing, classification, clustering and etc. is extracting efficient features from images. The color feature is one of the most widely used visual features. Use of color histogram is the most common way for representing color feature. One of disadvantage of the color histogram is that it does not take the color spatial distribution into consideration. In this paper dynamic color distribution entropy of neighborhoods method based on color distribution entropy is presented, which effectively describes the spatial information of colors. The image retrieval results in compare to improved color distribution entropy show the acceptable efficiency of this approach.
Keywords: color feature, color histogram, annular color histogram, color distribution entropy, dynamic color distribution entropy of neighborhoods, image retrieval
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ABOUT THE AUTHORS
Fatemeh Alamdar
Alzahra University
Mohammad Reza Keyvanpour
Alzahra University
Fatemeh Alamdar
Alzahra University
Mohammad Reza Keyvanpour
Alzahra University
