چکیده (انگلیسی):

This study aims to increase the retrieval efficiency of proposed image retrieval system on the basis of color
content. A new idea of feature extraction based on color perception histogram is proposed. First, the color
histogram is constructed for HSV image. Secondly, the true color and grey color components are identified
based on hue and intensity. The weight for true and grey color components is calculated using NBS
distance. An updated histogram is constructed using weighted true and grey color values. The color features
extracted from the updated histogram of query image and for all the images in image database are compared
with existing color histogram based technique by using multiple similarity measures. Experimental results
show that proposed image retrieval based on the color perception histogram gives higher retrieval
performance in terms of high average precision and average recall with less computational complexity.