Visual C++MATLAB图像处理与识别实用案例精选之　图像反色　算法的源程序，含标准测试图片-Visual C MATLAB image processing and recognition practical case against selected color images Algorithm source files, including standard tests Photo

图形文字处理编程,查找并定位文字串,可以用于图象处理-GDI+ graphics handle language programming, search and locate the text string

边界方向的直方图统计。采用canny算法实现。 测试图片说明：（图像路径名请在main函数中AnsiString name="1.bmp" 中设定) 1.bmp、2.bmp用来测试尺度变换后图像的识别； 3.bmp、4.bmp用来测试尺度变换后图像的识别； 2.bmp、2_shift.bmp用来测试平移后图像的识别。 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 运行后文件夹应该有Image1.bmp,Image2.bmp,Image3.bmp,Image4.bmp； 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 边界直方图数据和归一化后直方图数据分别保存在histogram.txt和NormalHistogram.txt中。-Border direction histogram statistics. Canny algorithm used. Testing Photo caption: (image path name in the main function AnsiString name = 1.bmp set) 1.bmp, 2.bmp used to test scaling image identification 3.bmp, 4.bmp used to test After scaling the image identification 2.bmp, 2_shift.bmp used to test post-translational image recognition. Realize the output grayscale, smooth map, edge map, as well as dual-threshold edge map after the treatment running folder should have Image1.bmp, Image2.bmp, Image3.bmp, Image4.bmp realize grayscale output, smooth map, edge map, as well as dual-threshold edge map after the treatment border histogram data an

该程序可以实时显示插在计算机上的摄像头（任何一款）的图像，同时可以抓取静态图像。-The program can be inserted in the computer real-time display on the camera (any one) of the image, while still images can be crawled.

opencv下很简单的一个可以读取摄像头并在窗口显示的小程序-a simple program which can load camera and display frame image with OpenCV

图像的形态学变换（腐蚀运算、膨胀运算、细化等）-Morphological image transform (corrosion computing, expanding operations, refining, etc.)

转换图象为二值图象后，进行识别与标记的matlab源码。可以计算目标物个数，形心等。-image conversion value for the two images, identification and marking of Matlab source. Can be calculated from the number of goals, such as heart-shaped.

/* 程序名称：laplace.c 功能：从摄像头或者AVI文件中得到视频流，对视频流进行边缘检测，并输出结果。 */-/* Program Name: laplace.c functions: from camera or AVI file to be video streaming, video stream on the edge detection, and output results.* /

现在在所有图像去噪滤波中最较理想的去噪算法――Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain-Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J Portilla, V Strela, M Wainwright, EP Simoncelli,

图像反转源码，c代码，环境windows-source, c code, the environment windows!