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ABSTRACT

The Mathematical Morphology presents a systematic model to extract geometric features of images using morphological 
operators that transform the original image into another, using a third image called structuring element. The fuzzy mathematic morphology extends the morphological operators for images in shades of gray and colored, using the theory of fuzzy sets, especially the fuzzy logic, where the definition of the operators are defined using the notions of implications and T-norms. In this work, it was proposed an automatic method for spores counting of mycorrhizal fungi, the spores counting is done manually, by using a ribbed plate and with the aid of a stereomicroscope. The proposed method uses G?del fuzzy morphological operators and in addition, the article makes a comparison to other existing methods, showing their efficiency.

KEYWORDS

Fuzzy morphology, fuzzy implications, counting spores

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