Fuzzy image correspondence correction

Lynne L. Grewe; Ben Shahshahani; Jennifer Tan

doi:10.1117/12.487141

25 August 2003 Fuzzy image correspondence correction

Lynne L. Grewe, Ben Shahshahani, Jennifer Tan

Proceedings Volume 5096, Signal Processing, Sensor Fusion, and Target Recognition XII; (2003) https://doi.org/10.1117/12.487141
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Lynne L. Grewe, Ben Shahshahani, and Jennifer Tan "Fuzzy image correspondence correction", Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); https://doi.org/10.1117/12.487141

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