masksample

说明：  该算法利用概率论中最大似然估计实现EM算法，通过对理论图像和统计图像的比较得出结果。(The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.)

人头检测 通过颜色分割产生人头头发部分的二值图像，计算此部分的面积和长宽比来判断是否有人头(human detection)

人耳识别，包含图像预处理，图像特征点的提取，比较实用(Ear recognition)

采用最大方差阈值分割法，对指纹进行提取。(Using the maximum variance threshold segmentation method for fingerprint extraction.)

可以对点云添加噪声，对从网站上下载的标准点云研究提供基础数据，比如研究去噪方法，可通过添加噪声形成基础数据(You can add noise to the point cloud to the standard point cloud research downloaded from the website to provide basic data, such as research de-noising method can form the basis of the data by adding noise)

3d相册代码 效果不错

介绍了一种显著性检测，程序可以直接运行，可以得到显著图像，有图像源。(propose a bottom-up visual saliency detection algorithm. Different most previous methods that mainly concentrate on image object, we take both background and foreground into consideration. )

图像细化注意，本程序的细化算法要应用于于含线条的黑白二值图像才可以看出细化效果。 (The thinning Note refinement algorithm of this program is to be applied to black and white binary image containing lines can be seen that the refinement effect.)

　　本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。(Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey value of the minimum, followed by the iris part, the biggest part of sclera. So in gray level histogram, the peak value of the first big neighborhood is the pupil area.)

介绍图像处理技在AMD上的GPU的处理方案，加速高清，快速度(The processing scheme, image processing technology on AMD GPU accelerated HD, speed)