BP_Match

图形图像处理，混合高斯图像背景估计＆更新(Graphic image processing, mixed-Gaussian background image is estimated )

本文是基于最新的模糊C均值彩色图像分割方法改进得来的新算法(This article is based on the fuzzy c-means clustering color image segmentation method of the latest paper)

网格简化， 将复杂的带有很多细节的物体的三维立体网格进行任意比例的简化，使得其减少点和面片的数量并保持物体的基本特征，以达到加快图像显示及压缩文件的效果。(Mesh simplification, the complex three-dimensional grid with many of the details of the object simplified in any proportion, such that it reduce the number of points and surfaces of the sheet and keep the basic characteristics of the object, in order to achieve the speed up of the image display and the effect of the compressed file .)

有效的实现车牌定位，车牌字符分割和车牌字符识别。(To achieve effective positioning plate, the vehicle registration license plate character segmentation and character recognition.)

深度图像处理,主要的是对深度图像进行区域分割(depth map)

低信噪比下红外弱小目标的检测与跟踪，采用的是基于粒子滤波检测前跟踪算法。(Low SNR infrared small target detection and tracking using front tracking algorithm based on particle filter detection.)

采取逆滤波和维纳滤波两种图像恢复算法对退化图像的恢复实现过程。 (taken inverse filter and two Wiener filtering algorithm to image restoration of degraded images to achieve the restoration process.)

beginig : image processing using LENA_color

均值滤波，高斯滤波，双边滤波以及求PSNR的基本算法(Mean filtering, Gaussian filtering, bilateral filtering and basic algorithms for PSNR of)

VisualC++数字图像处理技术详解第2版光盘-第五章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter V)