A Real-Time Color Classifier

Eder PenharbelBen Hur GonçalvezRoseli A. F. Romero

This paper presents a real-time color classifier for robotics applications. Classification is made by a Self-Organizing Map and to achieve real-time performance is built a lookup table with all possible input colors and their corresponding classes. To minimize the size of the lookup table and to reduce the levels of input image quantization is applied a uniform quantization, an operation that reduces the total combination of possible colors and decreases the number of positions in the lookup table. By using the lookup table, our color classifier uses a single memory access strategy to mask a complex color classification operation saving processing time.

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