A real-time neural system for color constancy
A real-time neural system for color constancy
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DOI：
10.1109/72.80334
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发表时间：
1991-03
影响因子：
--
通讯作者：
A. Moore;J. Allman;R. Goodman
中科院分区：
文献类型：
--
作者：
A. Moore;J. Allman;R. Goodman
提出了一种解决颜色恒常性问题的神经网络方法。各种算法的基础上土地的retinex理论进行了讨论方面的神经生物学的平行，计算效率，并适合VLSI实现。其中一种算法的效率通过电阻网格的应用得到了提高，并在计算机仿真中进行了测试，仿真结果表明了该算法的优点和缺点。一种新的扩展算法的开发，以解决其弱点。使用亚阈值模拟CMOS超大规模集成电路电阻网格构建了一个基于原始算法并以视频速率运行的电子系统。该系统显示颜色恒常性的能力，并定性地模仿人类的颜色感知方面。
A neural network approach to the problem of color constancy is presented. Various algorithms based on Land's retinex theory are discussed with respect to neurobiological parallels, computational efficiency, and suitability for VLSI implementation. The efficiency of one algorithm is improved by the application of resistive grids and is tested in computer simulations; the simulations make clear the strengths and weaknesses of the algorithm. A novel extension to the algorithm is developed to address its weaknesses. An electronic system that is based on the original algorithm and that operates at video rates was built using subthreshold analog CMOS VLSI resistive grids. The system displays color constancy abilities and qualitatively mimics aspects of human color perception.