Knowledge Based Image Processing

1990 ◽  
Author(s):  
Henry Lai ◽  
Mike Bazakos
Keyword(s):  
Image Processing ◽  
Knowledge Based

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.

Knowledge-based image processing for proton therapy planning of ocular tumors

1998 ◽  
Author(s):  
Sebastian Noeh ◽  
Klaus Haarbeck ◽  
Norbert Bornfeld ◽  
Thomas Tolxdorff
Keyword(s):  
Image Processing ◽  
Proton Therapy ◽  
Therapy Planning ◽  
Knowledge Based

A Knowledge-Based Real-Time Vision System for Monitoring the Inside of a Fluid Bed Heat Exchanger Chamber

2018 ◽  
Vol 28 (09) ◽  
pp. 1249-1265
Author(s):  
HyungJun Kim
Keyword(s):  
Image Processing ◽  
Heat Exchanger ◽  
Real Time ◽  
Vision System ◽  
Thermal Power ◽  
Experimental Results ◽  
Image Analysis System ◽  
Real Time Monitoring ◽  
Knowledge Based ◽  
Fluid Bed

In this paper, we present a vision system with a special camera for knowledge-based real-time monitoring of the inside of a fluid bed heat exchanger (FBHE) chamber in a thermal power plant. With the proposed system, it is possible to monitor the internal flux condition and analyze the inner temperature of a chamber. Due to the fact that the mixture of coal and sand inside a chamber flows by very quickly, there is an immense amount of smoke and dust, which make it difficult to capture images and analyze an existing system. An adaptive average method is proposed here to observe the background internal environment of an FBHE chamber. The experimental results show that real-time monitoring is possible, even under hot and dusty conditions. Preliminary experimental results confirm expectations about the possibility and effectiveness of the developed device for commercialized real-time monitoring systems. They demonstrate that a single camera with embedded image processing software can concurrently analyze the degree of fluidization of a mixture and the temperature of the chamber inside, even in extremely harsh and hazardous conditions. We aim to eventually develop an image analysis system that combines image processing and knowledge engineering techniques.

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