TI DSP库VLIB介绍

VLIB Introduction

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：

1. Exponentially-Weighted Running Mean of a Video
2. Exponentially-Weighted Running Variance of a Video
3. Uniformly-Weighted Running Mean of a Video
4. Uniformly-Weighted Running Variance of a Video
5. Statistical Background Subtraction
6. Mixture of Gaussians Background Modeling for Grayscale Video
7. Image Extraction From Background Models (8-Bit)
8. Packing and Unpacking of Binary Mask Images
9. Morphological Dilation
10. Morphological Erosion
11. Connected Components Labeling
12. Canny Edge Detection
13. Image Pyramid
14. Gaussian 5x5 Pyramid Kernel
15. Gradient 5x5 Pyramid Kernel
16. Recursive IIR Filter: Horizontal, First-Order
17. Recursive IIR Filter: Vertical, First-Order
18. Integral Image
19. Hough Transform for Lines
20. Harris Corner Score
21. Non-Maximal Suppression (mask output)
22. Non-Maximal Suppression (list output)
23. Lucas-Kanade Feature Tracking (Sparse Optical Flow)
24. Normal Flow
25. Kalman Filter
26. Nelder-Mead Simplex
27. Legendre Moments
28. Histogram
29. Bhattacharya Distance
30. L1 Distance
31. Color Space Conversions
32. SAD Based Disparity
33. Image Rescaling
34. Histogram Equalization
35. Hog Cell
36. Good Features to Track
37. L2_normalization
38. Gradients, Magnitude, and Orientation
39. Hysteresis Thresholding
40. Grayscale Morphology

参考：VLIB User‘s Manual (c674x)

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TI DSP库VLIB介绍

原文：http://blog.csdn.net/guo8113/article/details/23841111