木材缺陷图像的灰度形态滤波

Gray Morphology Filtering for Wood Defect Images

介绍数学形态学中的灰度形态滤波方法,给出对木材缺陷图像进行闭、开运算处理后的仿真图像实例,利用木材缺陷图像截面灰度分布对处理效果进行分析。结果表明:采用灰度形态滤波方法对木材缺陷图像进行滤波处理,可有效去除木材缺陷图像中的噪声,改善图像的视觉效果,提高后期缺陷边缘检测的精确度,从而证明该方法对木材缺陷图像进行滤波处理是可行的。

This paper first defined gray morphology filtering methods based on mathematical morphology, followed with examples of a wood defect image treated before and after open, as well as closed, filtering treatments. By observing the sectional gray distribution of the wood defect image, the effects of the filtering treatments were determined. Results found that gray morphology filtering could effectively remove noise in wood defect images, improve image vision and heighten accuracy for edge detection. The results verified the feasibility of applying gray morphology filtering to treat wood defect images.