摘要
介绍了数学形态学灰度形态滤波方法,形态学多结构元素梯度边缘检测算法,给出对木材缺陷图像进行数学形态学运算处理后的图像实例。根据木材内部缺陷的特点,分析了结构元素的选取,提出了一种将数学形态学的灰度形态滤波和形态学双结构元素边缘检测有机结合的方法,对木材缺陷进行边缘检测。实验表明,该方法不仅提高木材内部缺陷检测的可靠性,加强了分割图像的可视性和完整性,并提高了缺陷提取的精确度。
This paper introduces the method of gray-scale morphological filtering based on mathematical morphology,multi-scale morphological structuring elements defined in order to adapt to different edge in the image,followed with examples of a wood defect image treated after mathematical morphological operation.According to the characteristics of wood internal defects,analyzing the selection of structure elements,the author presents a method of edge detection which combined with double structuring element and morphology filtering that based on mathematical morphology.The experiments show that the method not only improved the reliability of internal defects detection of wood,strengthened the pre-segmentation image visibility and integrity,but also improved the precision of the defect extraction.
出处
《机电产品开发与创新》
2011年第5期79-81,共3页
Development & Innovation of Machinery & Electrical Products
基金
黑龙江省自然科学基金资助项目(F200920)
关键词
木材缺陷
数学形态学
灰度形态滤波
结构元素
边缘检测
wood defect
mathematical morphology
morphology filtering
structuring element
edge detection
