An application of fuzzy set theory for an electronic video camera image stabilizer

An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory...

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Veröffentlicht in:IEEE transactions on fuzzy systems 1995-08, Vol.3 (3), p.351-356
Hauptverfasser: Egusa, Y., Akahori, H., Morimura, A., Wakami, N.
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container_issue 3
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container_title IEEE transactions on fuzzy systems
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creator Egusa, Y.
Akahori, H.
Morimura, A.
Wakami, N.
description An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory is applied through the following process: 1) dividing the image taken by the camera into four regions, 2) providing two signals to discriminate between the causes of image instability, 3) evaluating these two discriminating signals after they are transformed into reliability values by membership functions, and 4) tuning the membership functions using a simplex method. This image stabilizer has been incorporated into a new compact video camera, and its substantially improved field performance has been confirmed.< >
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source IEEE Electronic Library (IEL)
subjects Applied sciences
Cameras
Exact sciences and technology
Fuzzy set theory
Image converters
Image processing
Information, signal and communications theory
Optimization methods
Reliability theory
Signal processing
Telecommunications and information theory
title An application of fuzzy set theory for an electronic video camera image stabilizer
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