Recognition of welding image based on improved C-V method;

Aiming at RT weld image,a method of edge detection which combines sobel operator and dynamic adaptive threshold is put forward.

All-fiber optic integration type of weld seam image sensing system

This article carries out feature analysis and summary of V sharp weld seam image collected by structural-light,and proposals different image processing methods aiming at different feature,on basis of which,weld seam image process is completed by means of global threshold segmentation and morphology filter determined by automatic threshold,and obtain excellent effect of image processing.

Defect extraction in weld image based on Generalized Fuzzy Operator;

Some filter methods were analyzed to find the characteristics of the weld image noises.

Improved OTSU method on welding seam image segmentation;

However, because welding seam images are complicated, it is very important to choose suitable and effective processing algorithm in order to get accurately the information.

The wavelet edge detecting method was introduced to the welding seam image processing in this paper,which can make up the defect of usual edge detecting methods in antinoise ability and precise locating ability.

On the base of this combination,a series of operations can be conducted and the data of welding CCT diagramstechnics could be made into database.

We study an applying system of welding CCT diagrams based on AutoCAD and Visual Basic, combining CAD and welding techniques.

The system we studied combines CAD and welding techniques in the article, the welding CCT diagrams are made into drawing blocks at the platform of AutoCAD, they are applied by two methods, one is to be directly applied based on AutoCAD; the other is to be applied by Visual Basic, using Active Automation techniques, and data of.