计算机工程与应用2019，Vol.55Issue(12)：215-219,5.DOI:10.3778/j.issn.1002-8331.1803-0460
改进SSIM图像评价系统的开发与应用
Development and Application of Improved SSIM Image Evaluation System
摘要
Abstract
In order to realize the automation of image evaluation in all kinds of course and examination, and reflect the degree of difficulty of different content in one image, the image automatic evaluation program is designed. By combining the watershed algorithm with the Structural Similarity(SSIM)theory, a WSSIM algorithm for evaluating the degree of dif-ficulty is proposed. A total of 3,173 samples are tested by randomly selecting from 5 actual experiments, which already have artificial evaluation results. By calculating the absolute error between the artificial evaluation and the system evaluation, the results show that:more than 63.75% of samples error is less than 1.5, while the maximum value can reach 74.26% . More than 84.41% of samples error value is less than 2.5, while the maximum value can reach 92.68%. The statistical results show that the results of system evaluation are in good agreement with manual evaluation, and the standard difference is less than manual evaluation. The average accuracy of WSSIM is 12.91% higher than that of SSIM. The experimental results show that the system is effective and can be run directly in the Windows 7 after compilation. It can help relevant institutions and grade examination to carry out automatic image marking.关键词
图像相似度/结构相似度/分水岭算法Key words
image similarity/ Structural Similarity(SSIM)/ watershed algorithm分类
社会科学引用本文复制引用
朱炯,严丽军,马燕..改进SSIM图像评价系统的开发与应用[J].计算机工程与应用,2019,55(12):215-219,5.基金项目
上海市教师激励计划教学团队项目(沪教委人[2012]52号) （沪教委人[2012]52号）
上海市教委重点课程建设(沪教委高[2015]37号). （沪教委高[2015]37号）
