Indexing 2D nonoccluded shapes for similarity retrieval

Atul Sajjanhar; Guojun Lu

doi:10.1117/12.279554

30 October 1997 Indexing 2D nonoccluded shapes for similarity retrieval

Atul Sajjanhar, Guojun Lu

Proceedings Volume 3164, Applications of Digital Image Processing XX; (1997) https://doi.org/10.1117/12.279554
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Segmented object shape is an important visual feature and one of the content based image retrieval techniques is the shape based technique which allows users to ask or objects similar in shape to a query object. We describe a method for shape representation and similarity measure which we call the grid based method and evaluate its performance by comparing it with two popular methods, namely, the Fourier descriptors method and the moment invariants method. The comparative study is done by performing the same queries on the same database for all the methods. We also test the methods for robustness to noise by performing the queries on the database of noisy shapes. Experimental results show that the method proposed by us performs favorably compared with the other two methods.

Citation Download Citation

Atul Sajjanhar and Guojun Lu "Indexing 2D nonoccluded shapes for similarity retrieval", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.279554

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