Retrieving images by 2D shape: a comparison of computation methods with human perceptual judgments

Brian M. Scassellati; Sophoclis Alexopoulos; Myron D. Flickner

doi:10.1117/12.171777

1 April 1994 Retrieving images by 2D shape: a comparison of computation methods with human perceptual judgments

Brian M. Scassellati, Sophoclis Alexopoulos, Myron D. Flickner

Proceedings Volume 2185, Storage and Retrieval for Image and Video Databases II; (1994) https://doi.org/10.1117/12.171777
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

In content based image retrieval, systems allow users to ask for objects similar in shape to a query object. However, there is no clear understanding of how computational shape similarity corresponds to human shape similarity. In this paper several shape similarity measures were evaluated on planar, connected, non-occluded binary shapes. Shape similarity using algebraic moments, spline curve distances, cumulative turning angle, signal of curvature and Hausdorff- distance were compared to human similarity judgments on twenty test shapes against a large image database.

Citation Download Citation

Brian M. Scassellati, Sophoclis Alexopoulos, and Myron D. Flickner "Retrieving images by 2D shape: a comparison of computation methods with human perceptual judgments", Proc. SPIE 2185, Storage and Retrieval for Image and Video Databases II, (1 April 1994); https://doi.org/10.1117/12.171777

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