fuzzy logic, convolution, pattern recognition

This article explores a novel approach for pattern recognition by Fuzzy Logic Analysis (FLA). Standard FLA approach works with separate pixel information without contextual information that can be obtained from neighbouring parts of the image. Fuzzy convolutional approach extends the original method to the image analysis option based on part of the image defined by the convolutional mask. The article describes initial research on the theoretical background, implementation and experimental results.