Paper
15 January 1997 Image retrieval with templates of arbitrary size
Bo Tao, Kevin Robbins, Bradley W. Dickinson
Author Affiliations +
Abstract
We study the problem of retrieving images using a small template. The goal is to allow a user to search for images containing a pattern similar to the template, adding to the capability of a search engine. We propose to employ a segmentation-based approach. As a specific example, we introduce a quadtree segmentation technique for textured images and a distance measure, Sum of Minimum Distance, suitable for template-based image retrieval applications.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Tao, Kevin Robbins, and Bradley W. Dickinson "Image retrieval with templates of arbitrary size", Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); https://doi.org/10.1117/12.263399
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image segmentation

Image retrieval

Distance measurement

Databases

Feature extraction

Image processing

Image filtering

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