fuzzy logic, convolution, fuzzy logic analysis

This article focuses on the theoretical background for the use of a convolution kernels for the purposes of patternrecognition by Fuzzy Logic Analysis (FLA). The fuzzy convolutional approach is a generalization of standard FLA. The standardFLA is based on comparing part of the image with adequate parts of its pattern where each part of the image is representedby a individual pixel. The Fuzzy convolutional approach extends original FLA using convolutional kernels that allow to includeinformation from neighbouring parts of the recognized image.