节点文献
基于CB形态滤波的形态学纸病检测方法研究
An investigation to the morphological paper defect test method based on CB morphology filtration
【摘要】 提出了基于轮廓结构元素形态学(CB形态学)滤波的形态学纸病检测方法。首先采用CB形态学对纸病图像进行滤波,力求在滤波的同时不损失图像的细节,然后再用形态学算子对图像进行边缘检测,最后结合传统的区域分割算法得到纸病检测结果。仿真结果表明了本文提出的纸病检测方法的有效性。
【Abstract】 A morphological paper defect test method based on contour bougie element morphology (CB morphology) filtration was proposed. Filtration was first performed to the image of paper defects with CB morphology with the detail of the image kept at best while filtration was performed, then edge detection was carried out with morphology operator and the paper defect measurement results were obtained with the traditional region segmentation algorithm. The results of emulation show that the paper defect test method proposed in the paper was valid.
【关键词】 轮廓结构元素形态学(CB形态学);
数学形态学;
纸病检测;
边缘检测;
区域分割;
【Key words】 contour bougie (CB) morphology; mathematical morphology; paper defect detection; edge detection; region segmentation;
【Key words】 contour bougie (CB) morphology; mathematical morphology; paper defect detection; edge detection; region segmentation;
- 【文献出处】 中华纸业 ,China Pulp & Paper Industry , 编辑部邮箱 ,2008年10期
- 【分类号】TS736.2
- 【被引频次】24
- 【下载频次】116