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分形与形态学在原木漏节图像边缘检测中的应用
引用本文:戚大伟,金雪婧. 分形与形态学在原木漏节图像边缘检测中的应用[J]. 东北林业大学学报, 2009, 37(3)
作者姓名:戚大伟  金雪婧
作者单位:东北林业大学,哈尔滨,150040
摘    要:采用X射线无损检测系统透射被检测的原木,根据检测透射物体后射线强度的差异,得到漏节图像。将图像分割成若干子区域,应用最小盒计数法计算每个子区域的分形维数,将图像从空域描述变换到分形域描述。进而应用数学形态学对得到的分形维数图进行有效的边缘检测,以确定原木缺陷的种类。检测结果表明:将分形理论和数学形态学结合起来的边缘检测方法,可以快速、准确地检测出原木漏节图像边缘。

关 键 词:无损检测  分形维数  数学形态学  边缘检测

Application of Fractal and Morphology to Edge Detection of Log with Rotten Knot Image
Qi Dawei,Jin Xuejing. Application of Fractal and Morphology to Edge Detection of Log with Rotten Knot Image[J]. Journal of Northeast Forestry University, 2009, 37(3)
Authors:Qi Dawei  Jin Xuejing
Affiliation:Qi Dawei,Jin Xuejing(School of Science,Northeast Forestry University,Harbin 150040,P.R.China)
Abstract:X-ray nondestructive test system was used to detect log inner defects.The rotten knot image was obtained according to the difference in X-ray intensity after passing through the log.Firstly,segment the image into several sub area,using minimum box-counting method to calculate the fractal dimension of each sub area,transform the image from spatial domain into fractal domain.Secondly,detect the edge of the fractal image effectively by mathematical morphology,and then the inner defects of the log are obtained....
Keywords:Nondestructive detection  Fractal dimension  Mathematical morphology  Edge detection  
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