22 March 2001 Short memory fuzzy fusion image recognition schema employing spatial and Fourier descriptors
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Abstract
Single images quite often do not bear enough information for precise interpretation due to a variety of reasons. Multiple image fusion and adequate integration recently became the state of the art in the pattern recognition field. In this paper presented here and enhanced multiple observation schema is discussed investigating improvements to the baseline fuzzy- probabilistic image fusion methodology. The first innovation introduced consists in considering only a limited but seemingly ore effective part of the uncertainty information obtained by a certain time restricting older uncertainty dependencies and alleviating computational burden that is now needed for short sequence (stored into memory) of samples. The second innovation essentially grouping them into feature-blind object hypotheses. Experiment settings include a sequence of independent views obtained by camera being moved around the investigated object.
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Sotiris N. Raptis, Spyros G. Tzafestas, "Short memory fuzzy fusion image recognition schema employing spatial and Fourier descriptors", Proc. SPIE 4385, Sensor Fusion: Architectures, Algorithms, and Applications V, (22 March 2001); doi: 10.1117/12.421119; https://doi.org/10.1117/12.421119
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KEYWORDS
Fuzzy logic

Image fusion

Image segmentation

Logic

Principal component analysis

Feature extraction

Cameras

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