A genetic algorithm based defect identification system for machined-parts inspection purposes is developed. It can identify defects from the mass and coordinates of center of mass of a defective part. This method uses genetic algorithm search to find combinations of dimensions that produce the same mass and coordinates of center of mass as the defective part. There is also a knowledge base to store defects that have been identified previously.link_to_subscribed_fulltex
To enhance the stability and robustness of visual inspection system (VIS), a new surface defect targ...
Defects on the surface of steel plates are one of the most important factors affecting the quality o...
Defects on the surface of steel plates are one of the most important factors affecting the quality o...
This paper is concerned with the problem of automatic inspection of metallic surface using machine v...
Periodical defect detection is a task of great importance during the production of web materials. It...
This paper is concerned with the problem of automatic inspection of metallic surface using machine v...
A data mining based procedure for automated reverse engineering and defect discovery has been develo...
A machine vision system is presented for the automatic inspection of surface defects in aluminium di...
The present work encounters the solution of the defect identification problem with the use of an evo...
In this paper, we are concerned with the problem of location of inspection centers in a multistage ...
In this paper, we are concerned with the problem of location of inspection centers in a multistage ...
This paper reports on the development of a sensor for measuring the location of the centre of mass a...
Abstract: The increased complexity of recent integrated circuits and Micro Electro Mechanical Syste...
The development of real-time, in-service structural health monitoring and damage detection technique...
Due to the character of the original source materials and the nature of batch digitization, quality ...
To enhance the stability and robustness of visual inspection system (VIS), a new surface defect targ...
Defects on the surface of steel plates are one of the most important factors affecting the quality o...
Defects on the surface of steel plates are one of the most important factors affecting the quality o...
This paper is concerned with the problem of automatic inspection of metallic surface using machine v...
Periodical defect detection is a task of great importance during the production of web materials. It...
This paper is concerned with the problem of automatic inspection of metallic surface using machine v...
A data mining based procedure for automated reverse engineering and defect discovery has been develo...
A machine vision system is presented for the automatic inspection of surface defects in aluminium di...
The present work encounters the solution of the defect identification problem with the use of an evo...
In this paper, we are concerned with the problem of location of inspection centers in a multistage ...
In this paper, we are concerned with the problem of location of inspection centers in a multistage ...
This paper reports on the development of a sensor for measuring the location of the centre of mass a...
Abstract: The increased complexity of recent integrated circuits and Micro Electro Mechanical Syste...
The development of real-time, in-service structural health monitoring and damage detection technique...
Due to the character of the original source materials and the nature of batch digitization, quality ...
To enhance the stability and robustness of visual inspection system (VIS), a new surface defect targ...
Defects on the surface of steel plates are one of the most important factors affecting the quality o...
Defects on the surface of steel plates are one of the most important factors affecting the quality o...