高速椭圆绘制程序 　　程序中var16为有符号16位数字型，uvar16为16位无符号数字型，uvar32为无符号32位数字型，var32为有符号32位数字型。...

《分形算法与程序设计――Visual C++实现》的第二章源码-"fractal algorithms and programming-- Visual C achieve" the second chapter FOSS

直方图均衡化，局部直方图均衡化，直方图匹配，中值滤波，-histgram equalization,histogram matching

加载原始对比图像，并计算原始图像的直方图； 获取摄像头信息，抽取其中的帧，并计算该帧图像的直方图； 将抽取的图像的直方图与原始图像的直方图进行比较，并计算其相似度。 这个相似度就是这两上人脸的相似度了。 主要有以下几个函数构成： /** Function Headers */ void detectAndDisplay(Mat bas_img, Mat frame, bool iscap ); //获取直方图 Mat calculateHistogram(Mat src_img); //计算相似度 double calculateComparesion(Mat src, Mat dst);

一个火焰的C源代码-a flame of C source code

内置虑镜功能，包括获取图像的属性，锐化，模糊，浮雕等功能．可以缩放，优化图片．打开图片带预览功能,使用了gdiplus,能处理gif,bmp,jpg,png图片,处理速度也不错-consider mirror embedded functions, including access to the image attributes, sharpening, blurring, relief and other functions. Can zoom, photo optimization. Photo opened with preview function, use the gdiplus to handle gif, bmp, jpg, png images, processing speed is not bad

extract exif from jpeg image

       VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.       This is toolkit of visualSFM, and you will need it!

在VB的图形窗口中平滑滚动地图，源码运行没有闪烁-in VB graphics window smoothing rolling map source operating without blinking

一个简单的大富翁游戏源码-a simple game of Monopoly FOSS

canny检测器是很有效的边缘检测器，该函数可以实现对目标图像的边缘提取。该方法总结如下：1.图像使用带有指定标准差的高斯滤波器来平滑，以此减少噪声；2.在每一点计算局部梯度和边缘方向；3.第二步中确定的边缘点会导致梯度幅度图像中出现脊，然后追踪所有脊的顶部，并将所有不再脊顶部的像素设置为0；4.执行边缘链接-canny detector is very effective edge detector, this function can be achieved on the target image edge detection. This method is summarized as follows: 1. Image used with the specified standard deviation of the Gaussian filter to smooth out, thereby reducing the noise 2. In the calculation of each point of local gradient and edge direction 3. The second step in determining the edge points will led to the image gradient magnitude ridge appears, and then keep track of all of the top of the ridge, and ridge at the top of all the pixels are no longer set to 0 4. the implementation of the edge link