正面拍摄

设计了一种焊接质量参数自调整模糊与积分的混合控制器，并用CCD摄像机正面拍摄熔池图象的计算机视觉传感方法对焊缝熔宽进行实时控制。

This paper describe a self-turning fuzzy logic and integal controller with computer vision sensor for welding quality control .

本文在对采用CCD摄象机正面拍摄焊接区图象并用微机进行图象处理，以及对视觉跟踪采用实时控制的必要性分析的基础上，通过实验建立了一个实用的机器人CO2保护焊自适应控制系统。

This paper first expounds the necessity of applying real-time control in the vision sensing and tracking system of robot welding , and then analyses the difficulties of welding image processing . Finally , through experiments , a practical robot CO_2 are adaptive feedback tracking system is established .

上传照片.请上传至少一张从正面拍摄的照片.如果能够提供侧面照片，将会提高公仔相似度。

Submit your photograph . You need to submit at least one photograph with the front view of face . Other photos will help our designer create a more accurate figurine .

利用自行建立的基于计算机视觉的脉冲TIG焊熔池几何参数检测系统，从工件的正面利用CCD传感器拍摄到了清晰的熔池图像。

Use the self-built pulse TIG welding melting pool geometric parameter inspection system based on computer vision , the clear melting pool image was pictured from the front through CCD sensor .