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Proceedings Paper

Fuzzy image correspondence correction
Author(s): Lynne L. Grewe; Ben Shahshahani; Jennifer Tan
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Paper Abstract

We explore the use of fuzzy logic techniques to create an Image Correspondence Correction System. Image Correspondence Correction is important for applications such as Surveillance, Terrain Database Collection, Exploration and Map Building which often require the comparison of image data potentially from different sources or taken at different times and in varying conditions. Difficulties arise due to mis-registration of the data as well as artifacts introduced from discrete image properties. This work attempts to apply a fuzzy-type scheme to reduce the effects of these problems. Results of this system are compared to those achieved by a previous non-fuzzy system.

Paper Details

Date Published: 25 August 2003
PDF: 12 pages
Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); doi: 10.1117/12.487141
Show Author Affiliations
Lynne L. Grewe, California State Univ. (United States)
Ben Shahshahani, California State Univ. (United States)
Jennifer Tan, California State Univ. (United States)

Published in SPIE Proceedings Vol. 5096:
Signal Processing, Sensor Fusion, and Target Recognition XII
Ivan Kadar, Editor(s)

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