The Texas Instruments VLIB is an optimizedImage/Video Processing Functions Library for C programmers using c674x devices.It includes many C-callable, assembly-optimized, general-purpose image/videoprocessing routines.
运行这些实例的速度要比用ANSI C编写的同样代码效率高，性能可提高10倍，可以大大减少开发时间。
可供用于：
背景建模&相减
物体特征提取
跟踪与检测
低级像素处理（low-levelpixel processing）
安装之后，预编译的库有：
- vlib.lib : Main optimized vlib library
- vlib_cn.lib : C Natural Implementation of vlib library
- common.lib : Common functions required for testing kernels.
Integration
对于单核或者多核系统，集成时需要以下步骤：
在系统代码中调用API
需要包含vlib.h
编译代码
编译时，编译器需要能够搜索packages目录，以找到kernelheaders
链接VLIB
-lvlib库所在的目录
支持的函数：
- Exponentially-Weighted Running Mean of a Video
- Exponentially-Weighted Running Variance of a Video
- Uniformly-Weighted Running Mean of a Video
- Uniformly-Weighted Running Variance of a Video
- Statistical Background Subtraction
- Mixture of Gaussians Background Modeling for Grayscale Video
- Image Extraction From Background Models (8-Bit)
- Packing and Unpacking of Binary Mask Images
- Morphological Dilation
- Morphological Erosion
- Connected Components Labeling
- Canny Edge Detection
- Image Pyramid
- Gaussian 5x5 Pyramid Kernel
- Gradient 5x5 Pyramid Kernel
- Recursive IIR Filter: Horizontal, First-Order
- Recursive IIR Filter: Vertical, First-Order
- Integral Image
- Hough Transform for Lines
- Harris Corner Score
- Non-Maximal Suppression (mask output)
- Non-Maximal Suppression (list output)
- Lucas-Kanade Feature Tracking (Sparse Optical Flow)
- Normal Flow
- Kalman Filter
- Nelder-Mead Simplex
- Legendre Moments
- Histogram
- Bhattacharya Distance
- L1 Distance
- Color Space Conversions
- SAD Based Disparity
- Image Rescaling
- Histogram Equalization
- Hog Cell
- Good Features to Track
- L2_normalization
- Gradients, Magnitude, and Orientation
- Hysteresis Thresholding
- Grayscale Morphology
参考：VLIB User's Manual (c674x)
http://pan.baidu.com/share/link?shareid=1329571575&uk=218378286&app=zd
http://blog.csdn.net/u014507805/article/details/24133013
http://download.csdn.net/detail/zengzhenxuan/4997278
http://blog.csdn.net/wangweitingaabbcc/article/details/6833265
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