Comparative Evaluation of Transform and Cluster based CBIR

In this paper, comparative evaluation is made on the result of CBIR system based on transform based Image retrieval and cluster based Image retrieval by taking Euclidean distance as similarity measure to calculate the deviation from query image. In transform based image retrieval discrete wavelet transform is used to decompose the image. The image is decomposed till sixth level and last level approximate component is saved as feature vector. For cluster based Image retrieval LBG algorithm is used. Comparisons are made between results of transform based Image retrieval and cluster based Image Retrieval. In this paper two experiments are carried out on COIL database images, first on 720 images having 10 different classes and second on 1440 images of 20 different classes.