To get a clear weld image, iterative threshold method is developed to process the image binary.
采用迭代的阀值化方法对图像进行二值处理，可以获得清晰的焊缝图像。
According to the traits of weld image, algorithm library is built to process image to detect the weld seam.
结合焊缝坡口图像的特点，开发了一套焊缝检测的图像处理算法。
Using this algorithm to dealing with weld image, the contrast ratio can be improved and the edges can be preserved well.
通过对焊缝图像进行广义模糊增强处理表明，该算法在增强对比度同时又可较好保持边缘。
Processing the aluminum weld image from the scanning of the X ray negative can derive the binary image of the weld defects.
利用X射线底片扫描成像法得到铝合金焊缝图像，再通过图像处理方法即可得到焊接缺陷二值图象。
To better understanding the weld image, the histogram equalization method was used aiming at enlarging the difference between groove and other area.
运用直方图均衡化方法强化坡口与非坡口的差别，增加焊缝图像的理解性。
A method of the noise reduction, region segmentation and welding defects extraction was proposed accerding to weld image of X-ray linear array detector real-time scanning.
前言： 针对X射线线阵探测器实时成像的焊缝图像，提出了降噪处理、焊缝图像分割及缺陷检测的方法。
The arithmetic realized the feature extraction of the weld seam Image.
并最终实现了对焊缝图像的特征提取。
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。
From the result of experiment, the vision sensor system get the image that can reflect the weld track of TIG Deposit surfacing welding clearly.
从实验结果来看视觉传感系统所得到的图像能够清晰反映出TIG熔敷堆焊的焊接轨迹。
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。
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。
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 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。
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 Beamlet transform was introduced to detect the line segment characteristic of the structured light in the image to identify the position of the weld seam effectively.
为有效提取图像中结构光线性特征以确定焊缝位置，引入了束波变换。
The paper has analyzed the content about image processing in the weld seam tracking system.
在此对焊缝自动跟踪系统中有关图像处理方面的内容作了一些分析。
A new method of defect detection X-ray images of weld using optimized heuristic search based on image information fusion was introduced.
提出一种基于信息融合优化搜索技术的X射线图像焊缝缺陷检测方法。
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。
Characteristic information of grinding weld was extracted through information collection and image processing.
经过信息采集及图像处理提取了磨削焊缝的特征信息。
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。
In this paper, a weld seam image real-time acquisition and processing system based on adjustable laser vision sensor is developed.
本文研究了一套基于激光结构光视觉传感的焊缝图像实时采集和图像处理系统。
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。
This paper applies the digital image processing to the welding workpiece picture, which is shot by CCD video camera in natural light, and detects the weld seam characteristics.
运用数字图像处理的方法，对电荷耦合器(CCD)摄像头在自然光下拍摄的焊接工件图像进行焊缝特征提取。
This paper applies the digital image processing to the welding workpiece picture, which is shot by CCD video camera in natural light, and detects the weld seam characteristics.
运用数字图像处理的方法，对电荷耦合器(CCD)摄像头在自然光下拍摄的焊接工件图像进行焊缝特征提取。
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