Image retrieval based on region shape similarity

Cheng Chang; Wenyin Liu; HongJiang Zhang

doi:10.1117/12.410947

1 January 2001 Image retrieval based on region shape similarity

Cheng Chang, Wenyin Liu, HongJiang Zhang

Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410947
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper presents an image retrieval method based on region shape similarity. In our approach, we first segment images into primitive regions and then combine some of the primitive regions to generate meaningful composite shapes, which are used as semantic units of the images during the similarity assessment process. We employ three global shape features and a set of normalized Fourier descriptors to characterize each meaningful shape. All these features are invariant under similar transformations. Finally, we measure the similarity between two image by finding the most similar pair of shapes in the two images. Our approach has demonstrated good performance in our retrieval experiments on clipart images.

Citation Download Citation

Cheng Chang, Wenyin Liu, and HongJiang Zhang "Image retrieval based on region shape similarity", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410947

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