《计算机应用研究》|Application Research of Computers

灰色关联分析在工程图纸除噪预处理中的应用研究

Gray Relationanalyzed Preprocessing for Noised Engineering Drawings

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作者 田红鹏,马苗
机构 1.西安科技大学 计算机系,陕西 西安 710054;2.西北工业大学,陕西 西安 710072;3.陕西师范大学 计算机科学学院,陕西 西安 710062
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文章编号 1001-3695(2007)04-0198-03
DOI 10.3969/j.issn.1001-3695.2007.04.059
摘要 提出了一种基于灰色关联分析的工程图像除噪预处理算法。该算法首先对含噪工程图像的特点进行分析,利用图像中噪声点与边缘点的空间分布连续性不同和图像为近似二值图像的特征,确定了两个非边缘点的参考序列和一组待比较序列;然后通过这两个参考序列与各比较序列之间的灰色关联度将含噪图像的像素重新分类,从而在保留尽可能多边缘的情况下除去噪声。实验表明该除噪方法具有简单易行、效果显著,而且能同时除去多种不同类型的噪声及可动态控制去除噪声与保持边缘的折中度等优点。这对于改善细化、骨架化、识别和矢量化等后继处理结果有着重要意义和
关键词 灰色关联分析;工程图纸;图像预处理;近似二值图像
基金项目 中国博士后科学基金资助项目(20060401009); 西安科技大学科研培育基金项目(200617)
本文URL http://www.arocmag.com/article/1001-3695(2007)04-0198-03.html
英文标题 Gray Relationanalyzed Preprocessing for Noised Engineering Drawings
作者英文名 TIAN Hong-peng, MA Miao
机构英文名 1. Dept. of Computer Science, Xi'an University of Science & Technology, Xi'an Shanxi 710054, China; 2. Northwestern Polytechnical University, Xi'an Shanxi 710072, China; 3. College of Computer Science, Shanxi Normal University, Xi'an Shanxi 710062, China
英文摘要 This paper proposed an algorithm based on grey relational analysis to preprocessing for noised engineering drawings. Taking the characteristics of noised engineering drawings into consideration, made use of the differences in spatial distributing continuity between noise pixels and edge pixels to select two referential sequences and a group of comparative sequences in a similar binary image. And then, by computing the grey relational coefficient of the two kinds of sequences, kept the edge pixels unchanged, at the same time reclassify the nonedge pixels to binary value sets, thereby noise reduced. Experimental results showed that the algorithm has the interests as follows: ①easy to implement; ②promising denoising results that are superior to the existing other methods, such as median filtering, wiener filtering, window based averaging filtering; ③applicable to speckle noise, salt & pepper noise and gaussian noise at the same time; ④a dynamically controllable balance between noise removal and edge reservation by adjusting the grey relational threshold. It is helpful to better the results of the consequent processing such as thinning, skeletonization, recognition and vectorization for engineering drawings.
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页码 198-200
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文献标志码 A