Template-based image retrieval
Bo Tao, Bruce Dickinson · 2002
A classified hierarchical template matching algorithm is presented in this work. In our system, a template is first classified into one of three classes: texture, edge and low-activity. Then different features are used for each class, thereby achieving a better recognition rate than with the commonly used l/sub 2/ metric. Furthermore, a two-level hierarchical searching algorithm is designed to reduce the amount of computation. The algorithm works in both spatial and DCT domains. It can be applied to image retrieval applications where a user is interested in finding images containing a small pattern.