基于Hough变换的无课表制作

Schedule-free Making Based on Hough Transform

课表图片区别于人脸及其他常见的图像识别对象,而对其信息的提取可使无课表的制作更加便捷。针对课表图像的视角校正、图像分割、文字信息提取等问题,本文基于Hough变换和透视变换等常用的图像处理方法,设计课表图片的信息自动提取算法,并结合实例,对算法的可行性和实用性进行验证测试。结果表明,该算法能够很好地提取出实例中课表的课程信息。

Schedule pictures are different from faces and other common image recognition objects, and the extraction of information can make the production of no-schedule more convenient. Aiming at the problems of visual angle correction, image segmentation and text information extraction of timetableimages,this paper designed an automatic information extraction algorithm for timetable images based on the commonly used image processing methods such as Hough transform and perspective transform,and verified the feasibility and practic ability of the algorithm with examples.The results showed that the algorithm could extract the course information of the timetable in an example very well.