Well-Organized Content based Image Retrieval System in RGB Color Histogram, Tamura Texture and Gabor Feature

Abstract: Content Based Image Retrieval is a challenging method of capturing relevant images from a large storage space. A new low level feature contains histogram, color and texture information. This element is intended for use in image retrieval and image indexing systems. This paper experiments various methods available for Content based image retrieval System, they are RGB Color Histogram, Tamura Texture and Gabor Feature. The methods are implemented and tested based on three parameters like Precision value, Recall value and Accuracy rate. The Experimental results show that Gabor Feature method is more efficient when comparing with other methods. The Gabor Feature 81.7%Accuracy in Content Based Image Retrieval system.

Keywords: Histogram, Content Based Image Retrieval , Color, Tamura Texture, Gabor Feature and RGB.