华东师范大学学报(自然科学版) ›› 2007, Vol. 2007 ›› Issue (3): 100-106.
• 计算机科学 • 上一篇 下一篇
韩文文, 王玲, 陈优广
收稿日期:
修回日期:
出版日期:
发布日期:
通讯作者:
HAN Wen-wen, WANG Ling, CHEN You-guang
Received:
Revised:
Online:
Published:
Contact:
摘要: 在Niblack和Otsu算法的基础上,提出了运用亚像素图实现图像分割的算法.经实验证明,所提出的算法能更好地保持字符的拓扑结构和光滑字符的边缘,分割效果比使用原图像直接进行分割有明显的改进.
关键词: 亚像素图, 文本图像, 图像分割, 阈值, 亚像素图, 文本图像, 图像分割, 阈值
Abstract: An algorithm was proposed to realize image segmentation with subpixel image based on Niblack and Otsu algorithms. Experimental results showed that the proposed algorithm can keep the characters′ topological structure, and yield smooth edge effectively. Compared with the original image segmentation, this proposed method is more efficient.
Key words: document image, image segmentation, threshold, subpixel image, document image, image segmentation, threshold
中图分类号:
TP311.52
韩文文;王玲;陈优广 . 基于亚像素文本图像的分割算法 [J]. 华东师范大学学报(自然科学版), 2007, 2007(3): 100-106.
HAN Wen-wen;WANG Ling;CHEN You-guang . Segmentation Algorithm Based on Subpixel Image (Chinese)[J]. Journal of East China Normal University(Natural Sc, 2007, 2007(3): 100-106.
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://xblk.ecnu.edu.cn/CN/
https://xblk.ecnu.edu.cn/CN/Y2007/V2007/I3/100