This paper introduces a novel indexing and access method, called Feature-
Based Adaptive Tolerance Tree (FATT), using wavelet transform is proposed to
organize large image data sets efficiently and to support popular image access
mechanisms like Content Based Image Retrieval (CBIR).Conventional database
systems are designed for managing textual and numerical data and retrieving
such data is often based on simple comparisons of text or numerical values.
However, this method is no longer adequate for images, since the digital
presentation of images does not convey the reality of images.