Comparison of Content Based Image Retrieval Systems Based on Various Techniques

Dr. M. Narayana; B. Manikanta; B. Sneha; G. Veeresh

Nowadays people are interested in using digital images. So the size of the image database is increasing rapidly. Lot of interest is paid to find images in the database. There is a great need for developing an efficient technique for retrieving the images. In order to find an image, image has to be represented with certain features. Color and texture are two important visual features of an image. This paper proposes that the color feature can be extracted using HSV color space and the texture features can be extracted using grey level cooccurance matrix (GLCM) and Discrete wavelet transformation. In this paper, we have compared different content based image retrieval techniques to achieve good efficiency in the image retrieval. This comparison has done in between content based image retrieval using HSV color space and GLCM, GLCM and wavelet and the combination of HSV, GLCM and Wavelet. After obtaining all the experimental results, a comparative study was done. From the result, we have found that the CBIR system that uses the combination of all the three techniques gave a better performance as compared to other two methods with an accuracy of 83.95%.

Select Volume / Issues:

• Volume 6 Issue 2, Mar. 2015

Year:

2015

Type of Publication:

Article

Keywords:

CBIR; HSV; Wavelet Transformation; GLCM

Journal:

IJECCE

Volume:

6

Number:

2

Pages:

299-305

Month:

March