The foundation of the future research of weld pool image processing and weld bead control was established.
为进一步进行熔池图像处理和焊缝成型控制的研究奠定了基础。
An approach is proposed that this deviation can be obtained by using the weld pool image centroid and a Kalman filter.
为此提出一种利用熔池图像质心和卡尔曼滤波来间接获取电弧与焊缝偏差的方法。
Passive visual sensing method is the major method for sensing welding process, the principle of which is to capture weld pool image by the illumination of electric arc.
被动式视觉传感方法是焊接过程传感的一种主要方法，其主要原理是利用电弧光照射熔池表面获得熔池图像。
With the captured images of the weld pool, the shape parameters of the weld pool can be calculated using image processing algorithm, for fulfill the requirement of real time control.
利用获得的焊接熔池图像，采用一定的熔池图像处理算法可以计算出熔池形状的特征参数，以满足过程建模和实时控制的要求。
A fast algorithm of image processing was designed for extracting the shape parameters of the weld pool in real time.
设计了快速图像处理算法，满足在实际焊接过程中提取熔池形状参数的要求。
An image detect system with near infrared CCD for monitoring the copper weld pool on the surface of steel was established.
建立了一个近红外CCD熔池动态信息的图像检测系统，用于钢表面铜熔池视觉信息的检测。
An image detect system with near infrared CCD (charge coupled devices) for monitoring the copper weld pool on the surface of steel was established.
建立了一个近红外CCD熔池动态信息的图像检测系统，用于钢表面铜熔池视觉信息的检测。
The TIG welding pool calculator image detecting system can effectually detect the breadth of weld seam by contrasting the data of detecting with the data of experiment.
通过与熔池图像对应的实际焊缝宽度对比，该TIG焊熔池计算机图像检测系统能够比较好的检测到焊缝宽度信息。
The welding pool image processing arithmetic is predigested because that the intent of welding pool image processing is getting the breadth of weld seam.
根据熔池图像的检测主要是获得焊缝宽度，对熔池的图像处理方法进行了简化。
The passive visual sensing method was successfully applied to detect the image of weld pool in CO2 welding.
应用被动式视觉传感方法进行CO2焊焊接熔池的形状检测。
The passive visual sensing method was successfully applied to detect the image of weld pool in CO2 welding.
应用被动式视觉传感方法进行CO2焊焊接熔池的形状检测。
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