When acquiring the pavement image, the acquired image is hard for image segmentation and recognition because of the noise and the nonuniform background illumination.
在获取路面图像中，由于背景光照不均匀以及存在着一些路面噪声，给后来的图像分割及识别带来了一些困难。
How to extract clear and intact fringes from all kinds of noises, especially strongly inhomogeneous background illumination, is the key problem in preprocessing of thermal flow field tomogram.
如何从各种噪声尤其是强烈的不均匀背景光噪声中提取清晰完整的条纹是热流场层析图预处理的主要问题。
Eyes location and face detection are important parts of face recognition, and in complex background, illumination and other objects have influence on eyes location and face detection.
人眼定位和人脸检测是人脸识别的重要环节，复杂背景下，人眼定位及人脸检测容易受到光照以及其它物体的影响。
The experimental results show that this algorithm is efficient in locating the VLP while not sensitive to the unconstrained illumination conditions and irregular background.
实验结果表明该算法对光照不均和复杂背景并不敏感，能够比较快速、准确、鲁棒地分割出车牌部分的图象。
The edge maps are extracted first then it is thresholded and the authors take the area of the background as the illumination invariant measure to perform the detection of shots.
它先提取了图像中的边缘，然后二值化，最后把背景的面积作为光照不变测度。
The key of background subtraction is to extract and update the background image adaptively in changeable road environment affected by all kinds of factors such as weather and illumination condition.
由于实际交通道路状况受气候、光照等多种因素的影响，变化非常复杂，因此如何设计一种自适应的背景提取与更新算法以适应实际环境的变化，是背景差法的关键所在。
In feature extraction, a difference motion detection algorithm of adaptive background updating is proposed, which has a good robustness to the changing of background and illumination.
在特征提取方面，提出了一种自适应背景更新的差分运动检测算法，该算法在运动对象轨迹的检测中对背景的抖动和光照条件的变化具有较好的鲁棒性。
The experimental results show that the method has strong adaptability to unconstrained illumination conditions and irregular background, and is efficient in locating license plate.
实验结果表明，该方法在各种光照和复杂背景条件下均有很好的适应性，对牌照定位有很高的准确性。
A new approach is presented for vehicle license plate location and rectification based on RGB chroma space in the complicated-background and different illumination images.
针对复杂背景及不同光照条件下的车牌图像，提出了一种基于RG B色度空间的车牌定位及校正的新方法，建立了基于RG B色度空间的牌照检测模型。
However, there are many challenges in developing a good background subtraction algorithm for many factors such as changes in illumination should be considered in constructing a background model.
但由于构建背景模型需要考虑光照变化等很多因素，因此开发一个好的减背景算法面临很多挑战。
However, there are many challenges in developing a good background subtraction algorithm for many factors such as changes in illumination should be considered in constructing a background model.
但由于构建背景模型需要考虑光照变化等很多因素，因此开发一个好的减背景算法面临很多挑战。
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