Hough

读取avi视频，并进行帧间差分法运算，检测运动目标(Read the avi video, and make inter-frame difference method for computing, moving target detection)

基于灰度共生矩阵的纹理特征提取。特征参数为：熵，能量，(GLCM-based texture feature extraction. The characteristic parameters: entropy, energy,)

对图像进行处理，包括加遮挡，旋转，仿射变换，形状调整等等。(Image processing, including plus occlusion, rotation, affine transformation, the shape of the adjustment.)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割！(The automatic seed region growing code, run, do not have to select seed point can automatically select the threshold image segmentation using MATLAB)

一个人脸识别和人眼跟踪的程序包.针对几十幅图象组成的视频进行识别和跟踪.大家参考吧!(脪 禄赂 枚脠脣脕 鲁 脢 露 卤 冒 潞 脥脠脣脩脹 赂 煤 脳 脵渭脛 鲁 脤脨貌 掳 眉.脮毛 露 脭 录 赂 脢 庐 霉脥 录 脧贸 脳 茅 鲁 脡渭脛脢脫脝渭 陆 酶脨脨脢 露 卤 冒 潞 脥 赂 煤 脳 脵. )

图像的预处理程序，包括边缘去噪、二值化、腐蚀等。为车牌定位作铺垫(image preprocessing procedures, including marginal denoising, the two values, and corrosion. To pave the way for positioning plates)

基因演算法, ~和吃飼料的演算法, e面的 ~吃到飼料會越來越快,(The genetic algorithm, the algorithm for eating feed, the e-plane algorithm for eating feed is getting faster and faster.)

Historgram equilization, One Image to be added to the program for equilizzation.

高斯混合模型的最大期望迭代求解算法,可用于图像区域灰度分布估计(Expectation maximazation(EM) for Gaussian mixture model(GMM) )