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灰色系统理论在图像边缘检测中的应用研究

Application of Grey System Theory in Image Edge Detection

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【作者】 徐腊梅易春菊

【Author】 XU Lamei1 YI Chunju1(1 School of Automation,Wuhan University of Technology,122 Luoshi Road,Wuhan 430070,China)

【机构】 武汉理工大学自动化学院

【摘要】 提出了一种将邓氏关联度与经典的Prewitt边缘检测算子相结合的边缘检测方法。采用Prewitt算子作为参考序列,图像各像素点及其8邻域构成比较序列,计算参考序列和比较序列之间的邓氏关联度,依据邓氏关联度的大小来判断图像的边缘。仿真实验表明,该方法可以较准确地检测出有用的图像边缘信息,具有一定的抗噪能力,提取的边缘比较完整,非边缘点少,连续性好。

【Abstract】 A method for image edge detection is presented based on Deng interrelatedness and the classical Prewitt edge detection operator.The method takes the Prewitt operator as referential sequence,calculates the Deng interrelatedness of the image pixels between the compared sequence and referential sequence in the eight neighborhoods,and detectes the edge according to the Deng interrelatedness.The experimental results show that the proposed method can detect useful information of image edge more accurately and has some anti-noise ability,and also proves that edge extracted by the combined method has more completion and consecutiveness and fewer non-edge points.The method is also applied to edge detection of remote sensing image.

【基金】 湖北省自然科学基金资助项目(2011CDB253)
  • 【文献出处】 武汉大学学报(信息科学版) ,Geomatics and Information Science of Wuhan University , 编辑部邮箱 ,2012年08期
  • 【分类号】TP391.41
  • 【被引频次】13
  • 【下载频次】272
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