摘要
OpenCV作为一款免费、开源的计算机视觉库已广泛应用于图像处理的各种项目开发中。在算法实现中,高性能的线性代数运算库能提升算法的执行效率和算法实现灵活性。介绍了Eigen线性代数运算库,并在矩阵运算效率上与OpenCV进行了比较。以基于SVD分解的图像压缩算法为例,将Eigen和OpenCV进行联合编程并给出了主要代码。
As a free and open-source computer vision library, OpenCV has been widely used in image processing of various project development. During the algorithm implementation, the high performance linear algebraic library can improve the efficiency of the algorithm and the flexibility of the algorithm implementation. This paper introduces the linear algebraic computation library Eigen and compares it with OpenCV in matrix operation efficiency. Taking the image compression algorithm based on SVD decomposition as an example, Eigen and OpenCV are jointly programmed and the main code is given.
作者
舒畅
秦肖臻
Shu Chang;Qin Xiaozhen(School of Automation, Huazhong University of Science and Technology, Wuhan 430074, Chin)
出处
《微型机与应用》
2017年第24期40-43,共4页
Microcomputer & Its Applications
