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Visual Sensing and Image Processing in Aluminum Alloy Welding

机译:铝合金焊接中的视觉感应和图像处理

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摘要

A new passive visual sensing system and special composed filter technology was developed firstly in this paper. Through the sensor, clearly welding gap image was collected. After regression recover, mean value smoothing, Laplace enhance, most noise was moved and gap edge became more evident. After analyzing the characters around welding gap, special straight line scanning was used. Then the gap edge was considered near the pixel gray value is the minimum on every scanning straight line. Extensively, because the gray value gradient of the gap edge is the local maximum, so the pixels on the two gap edges were found and were divided into two groups, at last, Hough transform was used to fit the two edges, and gap width and welding direction were calculated according to their definitions.
机译:本文首先开发了一种新的被动视觉传感系统和特殊的滤波技术。通过传感器,收集清晰的焊接间隙图像。回归恢复后,平均值平滑,拉普拉斯增强,移动大多数噪音,间隙边缘变得更加明显。在分析焊接间隙周围的角色后,使用特殊的直线扫描。然后,在像素灰度值附近考虑间隙边缘是每个扫描直线的最小值。广泛的,因为间隙边缘的灰度值梯度是局部最大值,所以发现两个间隙边缘上的像素并终于分为两组,最后,使用霍夫变换来适合两个边缘和间隙宽度和间隙宽度根据其定义计算焊接方向。

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