| 稀疏矩阵文档图像处理 |
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| 引用本文： | 储开颜,桑宏伟,马田,王朔中.稀疏矩阵文档图像处理[J].上海大学学报(自然科学版),2002,8(4):297-301. |
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| 作者姓名： | 储开颜 桑宏伟 马田 王朔中 |
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| 作者单位： | 上海大学通信与信息学院,上海,200072 |
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| 摘 要： | 讨论基于稀疏矩阵的文档图像存储及处理方法 .采用三向量法或链表法表示稀疏图像 ,然后在稀疏域直接实现某些基于临域运算的图像处理算法 .分析表明 ,对于具有显著特征的文档图像能有效地节省存储空间并提高计算效率 .以卷积运算和一种文档图像处理运算为例 ,给出实验结果
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| 关 键 词： | 图像处理 稀疏矩阵 三向量法 链表法 |
| 文章编号： | 1007-2861(2002)04-0297-05 |
| 修稿时间： | 2000年12月13 |
Document Image Processing Based on Sparse Matrix Representation |
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| CHU Kai yan,SANG Hong wei,MA Tian,WANG Shuo zhong.Document Image Processing Based on Sparse Matrix Representation[J].Journal of Shanghai University(Natural Science),2002,8(4):297-301. |
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| Authors: | CHU Kai yan SANG Hong wei MA Tian WANG Shuo zhong |
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| Abstract: | Storage and processing of document images based on sparse matrices are discussed. The sparse image is first converted into a more compact form consisting of either three vectors or a linked list. Image processing operations featuring neighborhood computations are performed directly in the sparse matrix domain. For images that are sufficiently sparse, the described method can effectively save storage as well as processing time. Finally, sparse matrix domain implementations of 2D convolution and a noise removal algorithm are presented. |
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| Keywords: | image processing sparse matrix three vectors representation linked list |
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