摘要
针对单纯利用虚拟现实软件,进行车间布局建模和仿真优化所存在的缺陷,将沙盘思想引入车间布局模型反求领域,提出了一种平面车间布局模型反求方法。综合运用阈值分割、边缘识别和像素标记法等图像识别技术,通过图像得到每个模型的相关定位信息。最后通过实例证明了该方法的可行性和准确性。
This paper introduces the idea of model table to layout of manufacturing shop and proposes a method for modeling reverse in layout of manufacturing shop. By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image. Finally, the practical application shows the feasibility and veracity of this approach.
出处
《机械与电子》
2006年第2期61-64,共4页
Machinery & Electronics
关键词
车间布局
阈值分割
边缘识别
像素标记
重心法
沙盘
layout of manufacturing shop
threshold segmentation
edge recognition
pixel labeling
center of gravity method
model table
