Hsin-Chang Yang
ABSTRACT
Shaped-based image retrieval is achieved by measuring the spatial topology distance between the input image and each template image in the database. The contour of an object in the input image is regularly sampled as feature points which are matched to those of a template image by a pseudo elastic matching process. The elastic matching is achieved by performing the self-organizing map algorithm on the network which is constructed by distributing neurons to feature locations of the template image. The spatial topology distance is measured by the degree of distortion of the template pattern before and after elastic matching. We tested the method on the Columbia Object Image Library database. Preliminary experiments suggested promising result by our approach.
- D.J. Burr. Elastic matching of line drawings. IEEE Trans. Pattern Analysis and Maching Intelligence, 3:708-713, 1981.Google Scholar
Digital Library
- M. Demarsicoi, L. Cinque, and S. Levialdi. Indexing pictorial documents by their content: A survey of current techniques. Image and Vision Computing, 15(2): 119-141, 1997. Google ScholarDigital Library
- D. Doermann. The indexing and retrieval of document images: A survey. Computer Vision and Image Understanding, 70(3):287-298, 1998. Google ScholarDigital Library
- T. Kohonen. Self-Organizing Maps. Springer-Verlag, Berlin, 1997. Google ScholarDigital Library
- C.Y. Liou and H.C. Yang. Handprinted character recognition based on spatial topology distance measurement. IEEE Tran. Pattern Analysis and Machine Intelligence, 18(9):941-945, 1996. Google ScholarDigital Library
- R. Mehrotra and J.E. Gary. Similar-shape retrieval in shape data management. IEEE Computer, 28(9):57-62, 1995. Google ScholarDigital Library
- S.A. Nene, S.K. Nayar, and H. Murase. Columbia object image library (coli-20). Technical Report CUCs-005-96, Dept. Computer Science, Columbia Univ., New York, NY, 1996.Google Scholar
- A. Sajjanhar and G. Lu. A comparison of techniques for shape retrieval. In Proc. International conf. on computational Intelligence and Multimedia Applications, pages 854-859, 1998.Google Scholar
- C.C. Tappert. Cursive script recognition by elastic matching. IBM Journal of Research and Development, 26:765-771, 1982.Google ScholarDigital Library
- K. Yoshida and H. Sakoe. Online handwritten character recognition for a personal computer system. IEEE Trans. Comsumer Electronics, 28:202-209, 1982.Google ScholarDigital Library
Index Terms
- Shaped-based image retrieval by spatial topology distances
Recommendations
Fast signature-based color-spatial image retrieval
ICMCS '97: Proceedings of the 1997 International Conference on Multimedia Computing and SystemsThis paper presents a novel method of retrieving images based on color-spatial information. For each image, its color-spatial information is compactly captured by a set of color signatures and an image signature. During the image retrieval process, the ...
Medical image retrieval based on unclean image bags
Traditional content-based image retrieval (CBIR) scheme with assumption of independent individual images in large-scale collections suffers from poor retrieval performance. In medical applications, images usually exist in the form of image bags and each ...
Localized content based image retrieval
MIR '05: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrievalClassic Content-Based Image Retrieval (CBIR) takes a single non-annotated query image, and retrieves similar images from an image repository. Such a search must rely upon a holistic (or global) view of the image. Yet often the desired content of an ...
Comments