Image processing and control of weld pool in switch-back welding without backing plate

2005 ◽  
Vol 19 (11) ◽  
pp. 856-861
Author(s):  
S Yamane ◽  
K Oshima ◽  
H Yuzawa ◽  
Y Kaneko ◽  
H Yamamoto ◽  
...  
Keyword(s):  
Image Processing ◽  
Weld Pool ◽  
Backing Plate ◽  
And Control

scholarly journals Image Processing and Control of Weld pool in Switch Back Welding without backing Plate

2005 ◽  
Vol 23 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Satoshi YAMANE ◽  
Hiroki YUZAWA ◽  
Yasuyoshi KANEKO ◽  
Hikaru YAMAMOTO ◽  
Manabu HIRAKAWA ◽  
...  
Keyword(s):  
Image Processing ◽  
Weld Pool ◽  
Backing Plate ◽  
And Control

Study on the Measuring and Positioning of the Rim Valve Hole Based on Machine Vision

2014 ◽  
Vol 711 ◽  
pp. 333-337 ◽  
Author(s):  
Fang Wang ◽  
Chao Kun Ma ◽  
Shan Qiang Dai ◽  
Chang Chun Li
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Measurement Method ◽  
Ccd Camera ◽  
Servo Motor ◽  
Processing Characteristic ◽  
Linear Ccd ◽  
Hole Position ◽  
And Control

The author has designed a visual workbench to realize that the rim can rotate with the workbench. Meanwhile, the linear CCD camera records the rim’s circumference. The paper has explored the measurement method of getting the rim valve hole position using machine vision. The system can calculate the position of rim-hole and control the servo motor by image processing, characteristic recognizing and measuring to locate the position of wheel-hole automatically. And the paper has verified the accuracy of the method by experiments.

scholarly journals A Distributed and Collaborative Intelligent System for Medical Diagnosis

2013 ◽  
Vol 2 (2) ◽  
pp. 1-16
Author(s):  
Naoufel Khayati ◽  
Wided Lejouad-Chaari
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Intelligent System ◽  
Distributed Environment ◽  
Web Based ◽  
Knowledge Based ◽  
Technological Advances ◽  
And Control ◽  
Control Complex

In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.

scholarly journals Modeling, Evaluation and Control of a Road Image Processing Chain

2005 ◽  
pp. 1076-1085
Author(s):  
Yves Lucas ◽  
Antonio Domingues ◽  
Driss Driouchi ◽  
Pierre Marché
Keyword(s):  
Image Processing ◽  
Processing Chain ◽  
And Control
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