包括锐化、平滑、LOG滤波器提取边缘数学形态学的腐蚀、膨胀、骨架化、开闭运算以及分形方法画树木和树叶...

对弱小显示的动态目标进行检测，并且添加边缘检测，和加上反色检测-Show that the dynamic of the small target detection, and add edge detection, and combined with the anti-color detection

Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forward-Backward MHI (before and after the historical figure to the movement) is a fast and efficient moving target detection methods, this program is to achieve in 2006 Zhaozheng Yin and Robert Collins of the " Moving Object Localization in Thermal Imagery by Forward-backward MHI" in the literature method. This procedure can easily judge the advantages and disadvantages of the method. To the moving target detector choose to provide that except " bad frames" and the " background subtraction" another way outside. The program is based on OpenCV.

VC环境下 计算共生矩阵及其相关的特征值-VC co-occurrence matrix computing environment and its associated eigenvalue

这个程序演示了通过NEO的基本绘图函数实现的粒子系统――瀑布效果-demonstration of this process through the NEO basic mapping function to achieve the particle system-- waterfalls

c++ builder 图形图象处理（不规则图形的动画技术） 图形的移动，可以改变其水平和垂直距离， 以及速度-c builder graphic image processing (irregular graphics animation technology) mobile graphics, can change its horizontal and vertical distance, and speed

利用小波变换技术图像融合方法从模糊图像中恢复图像，并给出结果-Using Wavelet Transform Image Fusion technology of fuzzy images from the resumption of images, and gives results

图像边缘检测及颜色发现，如果你正在学习边缘检测的阈值，那么这些程序对你是有用的。-Color Image Edge Detection and found that if you are learning to edge detection threshold, then these procedures are useful to you.

Enhancement code for image processing

用MATLAB进行图形样板匹配的源程序，（开发平台MATLAB7.0）-Using MATLAB graphics to match the source model, (development platform MATLAB7.0)

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-Procedure Code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip