CAJ | 학술논문

　　成捆原木检尺自动化不仅能够提高生产效率，而且是林木资源管理的需要。通过图像处理得原木检尺直径和统计根数，这是实现检尺自动化中的重要环节。由于原木生产作业现场获取的成捆原木图像背景多样，拍照时自然光照条件不一，成捆原木轮廓识别需要较多的人工交互。通过研究成捆原木端面彩色图像中原木的色彩特征，利用它滤除大量的不相关背景，留下原木色彩近似的像素点；并结合拉普拉斯滤波器，获得原木边缘，实现成捆原木轮廓的分离，从而获得原木轮廓。
　　성곤원목검척자동화불부능구제고생산효솔，이차시림목자원관리적수요。통과도상처리득원목검척직경화통계근수，저시실현검척자동화중적중요배절。유우원목생산작업현장획취적성곤원목도상배경다양，박조시자연광조조건불일，성곤원목륜곽식별수요교다적인공교호。통과연구성곤원목단면채색도상중원목적색채특정，이용타려제대량적불상관배경，류하원목색채근사적상소점；병결합랍보랍사려파기，획득원목변연，실현성곤원목륜곽적분리，종이획득원목륜곽。
Scaling automation for bundled logs not only improves production efficiency, but also is a requirement for forest resource management. After image processing, diameter of each log and the number of logs is obtained, and this process is key point of scaling automation for bundled logs. Because the imaging environment of bundled logs is complex, much man-machine interaction is needed while using the existing methods for outline identification of bundled logs. In this paper, the color feature of logs in the image of cross section of bundled logs has been discussed, which is used to remove the irrelevant pixels in the image and obtain the pixels of logs. In the next step, Laplace filter is used to work out the edge in the image, implementing the separation of log outlines. Finally, we achieve outline identification of bundled logs.