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C#图像处理方法效率测试与分析
引用本文:顾成喜,于复生.C#图像处理方法效率测试与分析[J].苏州市职业大学学报,2010,21(2):38-40,45.
作者姓名:顾成喜  于复生
作者单位:苏州市职业大学计算机工程系,江苏,苏州,215104
摘    要:以测试C#图像处理方法执行效率为目的,对C#中三种图像处理方法及常用类库进行性能测试和分析.在不考虑数据结构与算法的前提下,通过对数字图像的灰度处理,检测图像处理方法的“硬效率”,发现指针法在降低安全性能下,运行效率优于内存法,而提取像素法效率最差.通过比较指针法与EmguCV及OpenCV类库的执行效率,明确了数据结构和算法在图像预处理阶段的重要性.实验结果表明,在数据结构和算法一定时,使用指针法处理数字图像能够得到最佳执行效率.

关 键 词:图像处理  执行效率  指针法  灰度处理

Testing and Analysis of Executing Efficiency of Image Processing by C#
GU Cheng-xi,YU Fu-sheng.Testing and Analysis of Executing Efficiency of Image Processing by C#[J].Journal of Suzhou Vocational University,2010,21(2):38-40,45.
Authors:GU Cheng-xi  YU Fu-sheng
Institution:(Department of Computer Engineering, Suzhou Vocational University, Suzhou 215104, China)
Abstract:For the purpose of testing executing efficiency of image processing by C^#, three kinds of image processing methods and common class libraries are tested and analyzed. When dealing with gray level digital image by detecting the rigid efficiency of image processing method, pointer method is better than memory method at the condition of low security performance, and without regard to data structure and algorithm. By comparing point method with EmguCV and OpenCV class libraries, it is confirmed that data structure and algorithm are important to image preprocessing period. Experiment results show that point method can receive the best executing efficiency with certain data structure and algorithm.
Keywords:image processing  executing efficiency  pointer method  gray level processing
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