Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers
C Mohankumar, J Madhavan · IOSR Journal of Electronics and Communication Engineering · 2014
In this paper we proposed discrete wavelet transform with texture for content based image retrieval.Our proposed method uses 2-D Discrete Wavelet Transform for reducing the Dimensions of test image and trained images.Further gray level co-occurrence matrix is applied for all test and trained images of LL components of level 2 decomposed images for extract the texture feature of the images.Then similar images are retrieved by using different distance classifiers.Experimental results are performed for Wang's database and it gives the improved performance for homogeneity with energy property of GLCM of texture feature for Euclidean distance method.