用视网膜响应模型提升颜色恒常性识别能力
Effects of the retina-inspired light intensity encoding on color discrimination performance
- 采用视网膜光强编码的Naka-Rushton函数替代对数函数
- 双对立色平面+NR函数组合使颜色区分度提升最显著
- 适合关注视觉系统建模与颜色感知的研究者
颜色是物体识别等视觉功能的重要信息源，但易受光照颜色影响。颜色恒常性（CC）指在不同光照下仍能准确感知目标颜色的能力，是依赖颜色信息的视觉系统的关键特性。本研究探讨了中心/周围（C/S）retinex模型中光强编码函数对颜色恒常性性能的影响。该模型受视觉神经系统启发，原始版本使用对数函数编码光强，本文改用模拟视网膜感光细胞反应的Naka-Rushton（N-R）函数。实验使用色温可变的LED照射目标，通过不同模型计算的颜色信息评估其在多种光照下的颜色区分能力。颜色以HSV空间和基于经典对立色理论的色平面表示。结果表明，结合N-R函数与双对立色平面表示的方案表现最优，显著提升了颜色判别性能。
原文摘要 · Abstract (English)
Color is an important source of information for visual functions such as object recognition, but it is greatly affected by the color of illumination. The ability to perceive the color of a visual target independent of illumination color is called color constancy (CC), and is an important feature for vision systems that use color information. In this study, we investigated the effects of the light intensity encoding function on the performance of CC of the center/surround (C/S) retinex model, which is a well-known model inspired by CC of the visual nervous system. The functions used to encode light intensity are the logarithmic function used in the original C/S retinex model and the Naka-Rushton (N-R) function, which is a model of retinal photoreceptor response. Color-variable LEDs were used to illuminate visual targets with various lighting colors, and color information computed by each model was used to evaluate the degree to which the color of visual targets illuminated with different lighting colors could be discriminated. Color information was represented using the HSV color space and a color plane based on the classical opponent color theory. The results showed that the combination of the N-R function and the double opponent color plane representation provided superior discrimination performance.
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