Increment sign correlation is robust to small change of the image intensity.
增量符号相关方法对图像灰度值的变化不敏感。
The preprocessing mainly focuses on image enforcement, geometry normalization of face images, image intensity normalization.
在人脸图像的预处理阶段，本文主要完成对人脸样本的图像增强、几何及灰度归一化工作。
The results show that the enhancement of absorption increases the image resolution, and more absorption contributes lower image intensity.
结果表明，混浊介质对光的吸收作用增强了成像的分辨率，同时降低成像强度。
The methods utilize the spatiotemporal image intensity gradients and motion information to estimate the 3-d motion and structure parameters.
该方法利用时空图象亮度梯度和运动信息来估算三维运动和结构参数。
An improved algorithm for corner detection is based on the property of corners that the change of image intensity should be high in all direction.
提出了一种改进的角点提取算法，该算法是基于角点的性质，即在角点的某个邻域内，图像灰度的变化在任意一条通过该点的直线上都很大。
Matching is performed directly with the image intensity in the area-based correlation without counting the space and structure correlation between objects.
灰度相关直接用图像灰度进行匹配，没有考虑场景物体之间的空间和结构相关性，使得结果对结构、光照、纹理和畸变十分敏感。
This paper proposes an improved corner detection algorithm, based on the property of corners that the change of image intensity must be high in all directions.
提出了一种改进的角点提取算法。该算法是基于角点的性质，即在角点的某个邻域内，图像灰度变化在任意一条通过该点的直线上都很大。
Correlation analysis showed that the correlations among image features as well as grades of seed cotton quality were significant after image intensity correction.
相关分析表明：亮度修正后，图像特征与籽棉品级之间相关显著。
Abstract : Based on the Extended Nijboer-Zernike theory, the effect of different amplitudes for exit pupils on the image intensity in the focal plane was analyzed.
摘要 ：基于扩展奈波尔-泽尼克理论，分析了不同出瞳振幅分布情况对光学系统焦面处光强分布的影响。
On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.
在传统图像灰度方差评价函数的基础上，利用小波多分辨率分析，提出了一种新的自动聚焦算法。
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.
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.
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。
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