Abstract
In this paper we present a new opponent color system which imitates some of the known color processing neural cells established by electrophysiological recordings. We describe the benefits of this system to image processing tasks. The opponent color model is embedded in an active vision system to improve the systems fixation and recognition capabilities. This is done by removing illumination effects to some degree and by evaluating the resulting color differences. Experimental results are presented.
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Bollmann, M., Mertsching, B. (1996). Opponent color processing based on neural models. In: Perner, P., Wang, P., Rosenfeld, A. (eds) Advances in Structural and Syntactical Pattern Recognition. SSPR 1996. Lecture Notes in Computer Science, vol 1121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61577-6_21
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DOI: https://doi.org/10.1007/3-540-61577-6_21
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