Color And Texture Fusion Based Method For Content Based Image Retrieval

ABSTRACT

Since the last decade, Content-based Image retrieval

was a hot topic research. The computational complexity

and the retrieval accuracy are the main problems that

CBIR system have to avoid. In this study the method was

proposed to overcome these problems by using the combine

of color moment and texture features. The color feature

was extracted by color moment where the images will be

in the HSV color space. The textures features extracted by

applying Gabor function where the images will be in

grayscale. The similarity measure in this study was

calculated by used Euclidian distance.

The experiments results show that using both color and

texture features to describe the image and use them for

image retrieval is more accurate than using one of them

only.

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