Paper
1 January 2001 Comparison of the effectiveness of alternative feature sets in shape retrieval of multicomponent images
John P. Eakins, Jonathan D. Edwards, K. Jonathan Riley, Paul L. Rosin
Author Affiliations +
Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410929
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
Many different kinds of features have been used as the basis for shape retrieval from image databases. This paper investigates the relative effectiveness of several types of global shape feature, both singly and in combination. The features compared include well-established descriptors such as Fourier coefficients and moment invariants, as well as recently-proposed measures of triangularity and ellipticity. Experiments were conducted within the framework of the ARTISAN shape retrieval system, and retrieval effectiveness assessed on a database of over 10,000 images, using 24 queries and associated ground truth supplied by the UK Patent Office . Our experiments revealed only minor differences in retrieval effectiveness between different measures, suggesting that a wide variety of shape feature combinations can provide adequate discriminating power for effective shape retrieval in multi-component image collections such as trademark registries. Marked differences between measures were observed for some individual queries, suggesting that there could be considerable scope for improving retrieval effectiveness by providing users with an improved framework for searching multi-dimensional feature space.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John P. Eakins, Jonathan D. Edwards, K. Jonathan Riley, and Paul L. Rosin "Comparison of the effectiveness of alternative feature sets in shape retrieval of multicomponent images", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410929
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Cited by 4 scholarly publications.
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KEYWORDS
Image retrieval

Feature extraction

Image segmentation

Databases

Image processing

Image registration

Radon

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