试卷自适应分割算法的设计与实现  

Design and implementation of adaptive segmentation algorithm for test paper

作　　者：刘红[1] 许传林 LIU Hong;XU Chuanlin(School of Electronic Information Engineering,Shanghai Dianji University,Shanghai 201306,China)

机构地区：[1]上海电机学院电子信息学院,上海201306

出　　处：《上海电机学院学报》2021年第2期108-111,共4页Journal of Shanghai Dianji University

基　　金：国家自然科学基金资助项目(61205212);2020上海市大学生创新创业训练计划资助项目(B1-0224-16-003-038);上海电机学院研究生创新基金资助项目(B1-0225-20-011-19)。

摘　　要：随着互联网的快速发展,网上阅卷已成为各类考试的重要趋势,而图像处理算法在网上阅卷系统中有关键性的作用。将轮廓检测算法和图像处理算法相结合,利用图像的处理算法对试卷图像进行灰度化和二值化,并在图像二值化的基础上对图像进行增强和图像前景轮廓的检测及校正,最终输出的前景图像具有较好的识别效果。With the rapid development of the Internet,online marking has become an important trend for all kinds of examinations.And image processing algorithms play a key role in the online marking system.The system combines the edge recognition algorithm and image processing algorithm and uses the image processing algorithm to grayscale and binarize the test paper image.On the basis of image binarization,the system enhances the image,detects the foreground contour,and corrects the image.Finally,the system outputs the corrected foreground image,which has a good recognition effect.

关 键 词：试卷分割 直线检测 轮廓检测 图像校正 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]