Edge detection , compare different methods of edge detection

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

用C语言实现的Cohen-Sutherland算法，对学习计算机图形学有很大的帮助-C language to the Cohen-Sutherland algorithm. to learn computer graphics is a great help! !

dct.pdf中介绍的公式非常经典，但其中的一段源程序有一些错误，但在C文件dctmatrix.c有了修正。 dctmatrix.c给出了如何定标DCT系数。 dctmatrix.c中，FIX_DCTMTX_2[Rows][Columns]采用Q11定标,FIX_DCTMTX采用Q15定标。 DCTMTX_2[Rows][Columns]*2=DCTMTX[Rows][Columns]-dct.pdf formula described in a very classic, but a section of source code has some mistakes, but in C has been amended dctmatrix.c document. How dctmatrix.c given DCT coefficient calibration. dctmatrix.c in, FIX_DCTMTX_2 [Rows] [Columns] using Q11 calibration, FIX_DCTMTX calibration using Q15. DCTMTX_2 [Rows] [Columns]* 2 = DCTMTX [Rows] [Columns]

此方法得到的凸壳总是逆时针顺序，可用于任意简单多边形。-This method of Convex Hull is always counter-clockwise order, can be used for any simple polygon.

一个简单的单文档画图示例。提供绘制直线、圆、矩形的基本图元的功能,里面用力一些设计模式。-a simple single document drawing examples. Drawing for a round, rectangular map yuan"s basic functions, they forced some design patterns.

一个填充区域图像的程序-a region filled with images of procedures

每次点击左键都会出现显示你点击数量的黄色方块,右键清除所有方块.-everytime you click the left button, there are the same number of small yellow recs happans, right click to clear them.

卷积反投影重建CT2维图像（Visual Fortran编写）-convolution-projection reconstruction CT2-dimensional images (Visual Fortran preparation)

用最流行的图像处理工具OPENCV，求取运动物体轮廓。效果明显。-most popular image processing tools OPENCV strike movement object contours. Obviously.

四叉树图像分割的基本实现~使用Opencv编写， 读入灰度图 进行递归分割-Quadtree segmentation opencv read into grayscale prepared for recursive partitioning