GaussPyramid

直方图调整并显示对比，直方图调整后都需要对比一下调整前与调整后的区别，并显示。此程序适合初学者学习。(Histogram and adjust the display contrast)

APG算法，加速近端临近点算法，通过对子问题的调整，计算速度很快(APG algorithm, accelerated near the proximal point algorithm, by adjusting the sub-problems, fast calculation)

用kinect获取3D图像，并从3D图像中用OpenCV方法从深度图中获取梯度边缘，从而得到更多信息，做后续处理(Get with kinect 3D images, and get the edge gradient from the depth map from a 3D image using OpenCV method to obtain more information, do follow-up treatment)

opencv安装指导文件，针对vs2010版本和opencv2.2版本(opencv installation guidance document for vs2010 version, and opencv2.2 version)

Tracking based on background subtraction

图像处理领域中用于处理LDR为HDR图像的程序，即从低动态范围的图像转成高动态范围的图像(The field of image processing procedures for handling LDR HDR images turn into a high dynamic range image from the low dynamic range image)

一个基于脉冲耦合神经网络的高斯噪声滤波程序，包括源码和实验结果(pulse coupling based on a neural network Gaussian noise filtering procedures, including source and experimental results)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

图像增强里的小程序，有中值滤波，平滑处理还有频域增强(Image Enhancement in the small procedures, median filtering, smoothing also enhanced the frequency domain)

说明：  文简要介绍了指纹识别的基本步骤，分别是指纹图像预处理、指纹特征提取、指纹匹配(This paper briefly introduces the basic steps of fingerprint recognition, which are fingerprint image preprocessing, fingerprint feature extraction and fingerprint matching)