منابع مشابه
Competitive fuzzy edge detection
Our fuzzy classifier detects classes of image pixels corresponding to gray level variation in the various directions. It uses an extended Epanechnikov function as a fuzzy set membership function (FSMF) for each class where the class assigned to each pixel is the one with the greatest fuzzy truth of membership. This classification is done first, after which a competition is run as a second step ...
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The competitive fuzzy classifier operates on the set of four features extracted from the 3x3 neighborhood of each pixel. These features are the magnitudes of differences between that pixel and its neighboring pixels on four directions. They are input into the competitive fuzzy classifier inputs that connect to five fuzzy set membership functions that represent “white background” or one of the f...
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ژورنال
عنوان ژورنال: International Journal of Marketing Studies
سال: 2018
ISSN: 1918-7203,1918-719X
DOI: 10.5539/ijms.v10n3p91