摘要
对木材缺陷的X光图像进行计算机处理,可以突出缺陷的边缘与细节,便于人眼和计算机进行有效地识别。针对木材X光成像的噪声模型,采用高斯滤波器、梯度松弛迭代图像分割算法和协中值滤波法处理图像,可以提取缺陷图像的详细信息,并能检测出图像的边缘。
In this paper, X -ray image of wood defect are treated by computer, which can give the edge and details of defect prominence. So it is convenient for naked eye and computer to effectively distinguish defects. Adopting Gaussian filter, gradient relaxed iterative image segmentation method and comedian filter in accordance with noise model of wood X - ray image can obtain detailed information of defect image, and also can detect out image edge.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2002年第3期79-80,共2页
Journal of Northeast Forestry University
基金
黑龙江省科技攻关项目和黑龙江省自然科学基金项目。
