基于视觉感知的室内复杂区域照明控制仿真

Simulation of Indoor Complex Area Lighting Control Based on Visual Perception

针对采用传统照明方法控制下光通量与最佳光通量差距较大,且亮度分布不均的问题,提出基于视觉感知的室内复杂区域照明控制方法。利用低级视觉特征通道完成多空间区域图像滤波,通过不含色度的明暗强度与RGB通道组建色彩与强度对抗特征,采用Gabor滤波器,滤波处理室内复杂区域灰度图像的角度与尺度,平均划分初始阶段的中心-环绕特征映射后,提取各子通道特征向量,并串联各子通道所有维度特征,获取整体全局特征图像。根据照度指标的影响因素与室内各平面之间的照度关系,得出初始光通量与光通传递矩阵,通过粒子群算法实现室内复杂区域的照明控制。仿真结果表明,所提方法能够使复杂区域中各光通量呈现出最佳效果,且光度分布较为均匀。

In this article,a method of lighting control for indoor complex area based on visual perception was put forward.Firstly,the low-level visual feature channel was used to complete the image filtering of multi-spatial re-gion.The features of color-intensity countermeasures were formed by the light and dark intensity without chroma and RGB channel.Gabor filter was used to filter the angle and scale of gray-scale image in indoor complex region.After the central-surrounding feature mapping at initial stage was divided equally,the feature vectors of sub-channels were extracted.All dimensional features of each sub channel were connected in series,and then the overall global feature image was obtained.According to the influence factor of illuminance index and the illuminance relation be-tween indoor planes,the initial luminous flux and luminous flux transfer matrix were obtained.Finally,the lighting control for indoor complex area was realized by particle swarm optimization.Simulation results show that the proposed method can make the luminous flux in the complex region show the best effect,and the luminosity distribution is more uniform.