Paper
19 December 2001 Evaluation of shape correspondence using ordinal measures
Faouzi Alaya Cheikh, Bogdan Cramariuc, Mari Partio, Pasi Reijonen, Moncef Gabbouj
Author Affiliations +
Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451097
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
In this paper we present a novel approach to shape similarity estimation based on ordinal correlation. The proposed method operates in three steps: object alignment, contour to multilevel image transformation and similarity evaluation. This approach is suitable for use in CBIR, shape classification and performance evaluation of segmentation algorithms. The proposed technique produced encouraging results when applied on the MPEG-7 test data.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Faouzi Alaya Cheikh, Bogdan Cramariuc, Mari Partio, Pasi Reijonen, and Moncef Gabbouj "Evaluation of shape correspondence using ordinal measures", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451097
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Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

Associative arrays

Binary data

Databases

Image processing algorithms and systems

Image retrieval

Retina

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