engleski

Image displacement vector determiniation by fuzzy set comparator

Principles of digital picture analysis and image understanding techniques make computer vision system applicable. Abundance in interpretation of analysed information involved by presence of noise, absence of contrast, sensor distortion etc., can be avoided using principles of Fuzzy Set Theory. In this paper FSC (Fuzzy Set Comparator) is used for object displacement vector determination. 2D fuzzy set of displaced images: up, down, right, left and centre, are defined in learning process from one image of a scene. The dispacement vector is determinated on the basis of the differences between new scene and defined fuzzy set of displaced scenes. Theoretical results are evaluated experimantally using "off-line" mode of FSC digital image processing.

displacement vector; pattern recognition; fuzzy set theory

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