This procedure using VC to achieve the extraction using Canny edge operator

c#在图像处理的方面的源程序：对图像进行灰度化处理。一个很简单的程序，适合刚刚使用C＃进行图像处理者借鉴～-c# deal with aspects of the image source: gray-scale image processing. A very simple procedure, suitable for just using C# for image processing are drawing ~

人脸检测的最新源代码，使用了最新的处理技术，使之运行速度更可快-Face Detection of up-to-date source code, uses the latest processing technology, so that speed can be faster

图像处理框架 图像处理框架 -Image processing framework for image processing framework for image processing framework

几个常用图像处理程序源码，vc 6.0 sp6+windows2000 sp4调试通过-several commonly used image-processing program source code, vc 6.0 SP6 windows2000 Explorer debugging through

动态链接库所需要的ImageLoad.lib等lib库。-dynamic link library needs ImageLoad.lib the other lib.

虹膜识别算法，包括定位，归一化，编码。很有用的算法。-iris recognition algorithms, including positioning, in the final one, coding. Useful algorithms.

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

MATLAB语言中图像数据与信息的读取方法,绘制灰度直方图的方法，理解灰度直方图的灰度变换及均衡化的方法。-MATLAB Image data and information to read, drawing gray histogram, Gray understanding of gray histogram equalization and transform the way.

CRF（条件随机场）的程序包，用于图像分析（恢复，分割），对图像进行建模-CRF (with the conditions of the airport) package for image analysis (restoration, segmentation), the image modeling

自适应的编码与解码 在c++环境中可以成功运行-Adaptive encoding and decoding in c++ environment can be run successfully