K. Sakthivel and R. Nallusamy and C. Kavitha
Image Retrieval Using Fused Features
1641 - 1645
2014
8
9
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/9999564
https://publications.waset.org/vol/93
World Academy of Science, Engineering and Technology
The system is designed to show images which are
related to the query image. Extracting color, texture, and shape
features from an image plays a vital role in contentbased image
retrieval (CBIR). Initially RGB image is converted into HSV color
space due to its perceptual uniformity. From the HSV image, Color
features are extracted using block color histogram, texture features
using Haar transform and shape feature using Fuzzy Cmeans
Algorithm. Then, the characteristics of the global and local color
histogram, texture features through cooccurrence matrix and Haar
wavelet transform and shape are compared and analyzed for CBIR.
Finally, the best method of each feature is fused during similarity
measure to improve image retrieval effectiveness and accuracy.
Open Science Index 93, 2014