Image Retrieval Using SalientPoints and Geometric Hashing
Guoyu Wang · Microcomputer applications · 2006
This paper presents a content-based image retrieval technique based on salientpoints matching and geometric hashing. We extract salient points using wavelet transform. A small region around the salient point is located as an image patch. Then low-level features such as color are extracted to describe each image patch. To provide geometric invariant image matching, we index the image patches into a 2-D hash table by geometric hashing technique. Thus, the matching is invariant to global and local geometric transforms. We performed a series of experiments to confirm the effectiveness of our method. as compared to the global feature approaches. And experimental results indicate satisfactory retrieval in the case of partial matching and geometric transformation.