IMAGE RETRIEVAL FROM DATABASE USING DIFFERENT IMAGE FEAT

Image retrieval from the database is emerged due to the increased growth in number of images and also the application in several fields. Color, Edge, Texture, Contour, Autocorrelogram, Color Moments, Gabor wavelet are the some of features that represent the images and also these features are utilized for indexing of image. These features are seen as global and local. Gabor wavelet is used to extract texture feature. These features are referred as local features of an image. Color component is also a one of the feature called as global feature.HSV color model is used in this paper. Matching algorithm is used to match similarity between features stored in the database and query image features. The paper deals with image retrieval from the database using combined feature. Columbia Object Image Library (COIL) is a database used in this project.COIL-100 database is used for the experimental purpose