Automatic Recognition of Vehicle Attributes –Color Classification and Logo Segmentation

This paper presents an algorithm for automatic detection of predominant color and logo (trademark) of vehicles. The color classification is based on the definition of fuzzy sets and pertinence rules of pixels from the segmentation of metallic part of the vehicle. Moreover, logo segmentation is obtained from appropriated morphological operators.

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