@article{(Open Science Index):https://publications.waset.org/pdf/9999564,
	  title     = {Image Retrieval Using Fused Features},
	  author    = {K. Sakthivel and  R. Nallusamy and  C. Kavitha},
	  country	= {},
	  institution	= {},
	  abstract     = {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 content-based 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 C-means
Algorithm. Then, the characteristics of the global and local color
histogram, texture features through co-occurrence 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.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {9},
	  year      = {2014},
	  pages     = {1641 - 1645},
	  ee        = {https://publications.waset.org/pdf/9999564},
	  url   	= {https://publications.waset.org/vol/93},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 93, 2014},
	}