图像识别的VC框架 只需在里面加识别算法就行

OTSU算法是一个可以稳定获取图像分割阈值的好方法，本人根据其思想，编译了一个函数，可以方便您的调用，自适应的获取图像的阈值，-OTSU algorithm is a segmentation threshold can be stabilized to obtain the value of a good way, in accordance with their thoughts, to compile a function, you can easily call adaptive image acquisition threshold,

matlab的m文件，sobel边缘检测-matlab m-file, sobel edge detection

非常直观的Gabor小波滤波程序，有不同波长滤波效果比较；同时能反应相频幅频的变化结果-A very impressive Gabor Wavelet Filter program. It contains comparison of different filter results. Moreover, it could reflect changes of phase and amplitude.

一个改进的卡尔曼滤波器 用来进行运动目标的跟踪 -An improved Kalman filter used for tracking moving targets

介绍卡尔曼滤波的原理以及基于卡尔曼滤波的简单应用-Introduced the principle of Kalman filtering and Kalman filtering based on a simple application of

背景差分法（Frame difference）这种方法是基于前景和背景的不同场景，根据视频采集的背景信息获取更稳定的可信信息，计算前景中固定的背景像素差分，从而实现基于Su（pixel-based）和高端basic的融合区域（基于区域的）信息

实现边缘检测，包括Gradient算子 Robert算子等算子-Edge detection implementation, including the Gradient Operator operator, such as Robert operator

图像格式转换的源码，用于图像不同格式的转换，如转换公式为Gray(i,j)=0.11*R(i,j)+0.59*G(i,j)+0.3*B(i,j)，其中Gray(i,j)为转换后的黑白图像在（i,j）点处的灰度值，其中绿色所占的比重最大，所以转换时可以直接使用G值。 -The source image format converter for conversion of images in different formats, such as the conversion formula for the Gray (i, j) = 0.11* R (i, j)+ 0.59* G (i, j)+ 0.3* B ( i, j), which Gray (i, j) for the converted black and white images in the (i, j) point of the gray value, of which the largest share in the green, so conversion can be directly used when the G value.

这是一个用matlab做的，关于图像识别的源码，其中有各种例子-This is a use matlab to do on the source image recognition, which has a variety of examples

反色：通过对图像的处理使图像各种颜色变得和原始图像颜色相反-Anti-color: image processing of the image has become a variety of colors and the original image color contrast