Laplacian-Gaussian-Model

使用vs2012+opencv2.4.5做的人脸检测代码，可以实现对静态图像上人脸的检测(Use vs2012+ opencv2.4.5 do face detection code, you can achieve detection of static images of the human face)

改进的有效边表算法，来自计算机图形学的简单代码(Improved active edge table algorithm, a simple code from the computer graphics)

图像的复制剪切粘贴，Visual C++编程技巧精选，很好的参考资料。(Copy cut and paste image, Visual C++ programming skills selected, a good reference.)

这是DCT的改进算法，可以提高DCT算法的执行速度。(This is the DCT of the improved algorithm can improve the execution speed DCT algorithms.)

超分辨率源代码，用它可以实现超分辨率，提高影像的分辨率，可以使一使(super-resolution source code, using it to achieve super-resolution and improve image resolution, can make a)

漂亮的图标程序源代码(beautiful icon source code)

检测图像中的轮廓，并定位坐标，可以对图片特征惊醒提取。(Detect the image contours, and position coordinates can be awakened picture feature extraction.)

VisualC++数字图像处理技术详解第2版光盘-第二章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter 2)

用画笔绘制圆角矩形，椭圆，饼形，并用不同颜色画刷进行填充。(Draw a rounded rectangle, ellipse, pie with a brush, and brush with a different color fill.)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)