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图像处理技术在工业产品测量中的应用

消耗积分:3 | 格式:rar | 大小:675 | 2011-01-04

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 针对工业产品手工测量的缺陷,提出一种基于计算机视觉技术的测量方法。根据需要,通过摄像头从不同角度定时对生产线上的产品进行拍照,首先对获得的图像进行去噪、平滑等预处理,然后对其进行基于链码表和线段表的轮廓跟踪,得到图像各个封闭区域的边界信息和区域信息,从而计算产品的面积、周长、形状因子、重心、外接矩形等几何特征参数。试验表明,该方法测试准确率为100%,适合实时检测,为产品检测的全自动化研究提供了基础。
Abstract:
 Aiming at the drawbacks of traditional manual measurement of industrial product,this paper put forward an ap-proach of measurement based on computer vision technology.According to the requirements,the camera timing aims at the production line to take photographs of the products from different angles.Firstly,we did some pre-treatments such as de-nos-ing,smoothing and so on,and then tracked the outline of the image based on the chain codes table and line segment table to get border and region information of all the closed regions,thus computed the geometrical shape feature parameters of the image,such as area,perimeter,shape factor,the center of gravity and circum-rectangular.Experiments show that precision of this method is100%.It is suitable for real-time detection and provides the basic for further research on the fully-automated detection of products.

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