结合图像亮度归一化和二维交叉熵的思想提出了一种针对光照变化鲁棒性强的运动目标检测算法。
Combining the thoughts of image intensity normalization and two-dimensional cross-entropy, a moving object detection algorithm, which is robust against illumination changes, is presented.
通过分析阴影的物理模型，得出局部纹理的光照不变性，利用基于比值判决的LBP纹理法来区分运动车辆和阴影，并应用亮度约束和几何启发式准则进一步改善阴影检测效果。
The distribution of improved LBP texture is discussed and a significant test is performed to classify each moving pixel into foreground object or moving shadow according to this theory.
为了满足特殊场合的显示需要而研制的特种显示设备，建立了显示终端亮度和环境光照度之间的数学关系。
In order to meet the needs of special environment of the display, a display terminal brightness and ambient illumination mathematical relationship is established.
为了满足特殊场合的显示需要而研制的特种显示设备，建立了显示终端亮度和环境光照度之间的数学关系。
In order to meet the needs of special environment of the display, a display terminal brightness and ambient illumination mathematical relationship is established.
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