A new algorithm for CBIR using bi-cubic interpolation with color coding and different level of DWT

In this study, a new algorithm for Content Based Image Retrieval (CBIR) using bi-cubic interpolation (BCI)with color coding (CC) and different level of discrete wavelet transform (DWT). In this paper the techniques of CBIR are discussed, analyzed and compared. BCI is used to scale the query image and database images. CC is used for color feature extraction. Apply DWT on each level plane of an image for texture feature. Apply edge histogram (EH) on each plane of an image for shape features. The experimental database performed on Corel database which contain fruit, flowers, sports, tools, facial images. Apply Support vector matching (SVM) for classifying the data. The performance analysis of precision (P), execution time (T) for retrieved images. We calculate similarity distance on Euclidean distance (ED), Relative Deviation (RSD),CityBlock (CD) and Canberra distance.