基于图像的原木去弯截断方法

Research on method of log cutting off by image optimizing

为了提高小径级原木的出材率,需要对原木进行去弯截断处理,为此设计了原木图像检测与去弯截断系统。分析了原木图像处理流程,研究了基于最大类间方差法的原木图像分割方法,并对分割后的原木图像进行了形态学滤波。在此基础上,采用边缘检测方法实现了原木图像中心线提取,给出了基于中心线的原木自动去弯截断方法。试验结果验证了原木图像处理方法的有效性。

Small diameter logs should be sawn based on the shapes to increase the outturn. In this study,a log image detection and cutting system was designed accordingly. The log image acquisition and processing procedure were analyzed. The log image segmentation method was studied using Otsu’s method,and the log image morphological filtering approach was introduced,based on which,the log image center line was determined using edge detection method. A center-line-based automatic log cutting method was then proposed and experimentally tested.