Journal of Computer Applications ›› 2005, Vol. 25 ›› Issue (03): 586-588.DOI: 10.3724/SP.J.1087.2005.0586
• Graphics and image processing • Previous Articles Next Articles
ZHANG Kai-bing, HUANG Xiang-nian,QIN An,LIU Zhong-hua
Online:
Published:
张凯兵,黄襄念,秦岸,刘中华
Abstract:
A skew angle detection approach using Hough transform was proposed for OMR images. The proposed method doesn’t need to identify exact position of locating marks and can bear high noise. In order to avoid heavy computing of Hough transform, a low-resolution image was created by sampling OMR image. Also, a fast iteration algorithm based on run-length center for written marks segmentation was presented. Experiment results show that the algorithm can achieve skew correction and segmentation of OMR image efficiently and accurately.
Key words: Optical Marker Recognition(OMR), Hough transform, skew correction, run-length
摘要:
提出一种采用Hough变换进行OMR图像倾斜矫正的方法,该方法不必识别定位标记位置,具有很好的抗噪能力。为克服Hough变换计算量大的缺点,采用图像子抽样生成低辨率图像进行Hough变换,提高了算法效率。同时,提出一种快速游程段中心迭代算法分割图像,结合Hough变换,可快速准确地实现OMR图像的倾斜矫正与分割。
关键词: 光学标记识别, Hough变换, 倾斜矫正, 游程
CLC Number:
TP391.41
ZHANG Kai-bing, HUANG Xiang-nian,QIN An,LIU Zhong-hua. Skew correction and segmentation method for OMR images[J]. Journal of Computer Applications, 2005, 25(03): 586-588.
张凯兵,黄襄念,秦岸,刘中华. OMR图像倾斜矫正与分割[J]. 计算机应用, 2005, 25(03): 586-588.
0 / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.joca.cn/EN/10.3724/SP.J.1087.2005.0586
http://www.joca.cn/EN/Y2005/V25/I03/586