OPTICAL-PATTERN RECOGNITION BASED ON COLOR-VISION MODELS

A channel transformation based on opponent-color theory of the color v ision models is applied to optical pattern recognition so that the con ventional red, green, and blue (RGB) channels are transformed into bri ght-dark, red-green, and yellow-blue (ATD) channels. Matched filtering and correlation are performed over the new components of the target a nd the scene in the ATD system. The proposed transformation allows us to reduce the number of channels commonly used in color pattern recogn ition, passing from the three RGB channels to the two red-green and ye llow-blue opponent-color channels. (C) 1995 Optical Society of America