Eye Localization from Infrared Thermal Images

2013 ◽  
pp. 35-42 ◽  
Author(s):  
Shangfei Wang ◽  
Peijia Shen ◽  
Zhilei Liu
Keyword(s):  
Thermal Images ◽  
Eye Localization ◽  
Infrared Thermal Images

Polymorphic Measurement Method of FeO Content of Sinter Based on Heterogeneous Features of Infrared Thermal Images

2021 ◽  
pp. 1-1
Author(s):  
Zhaohui Jiang ◽  
Yuhao Guo ◽  
Dong Pan ◽  
Weihua Gui ◽  
Xavier Maldague
Keyword(s):  
Measurement Method ◽  
Thermal Images ◽  
Heterogeneous Features ◽  
Infrared Thermal Images

scholarly journals Clinical Trial on the Characteristics of Zheng Classification of Pulmonary Diseases Based on Infrared Thermal Imaging Technology

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Jin-xia Ni ◽  
Si-hua Gao ◽  
Yu-hang Li ◽  
Shi-lei Ma ◽  
Tian Tian ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Pulmonary Disease ◽  
Thermal Imaging ◽  
Relative Temperature ◽  
Infrared Thermal Imaging ◽  
Imaging Technology ◽  
Thermal Images ◽  
Diagnosis Rate ◽  
Infrared Thermal Images

Zheng classification study based on infrared thermal imaging technology has not been reported before. To detect the relative temperature of viscera and bowels of different syndromes patients with pulmonary disease and to summarize the characteristics of different Zheng classifications, the infrared thermal imaging technology was used in the clinical trial. The results showed that the infrared thermal images characteristics of different Zheng classifications of pulmonary disease were distinctly different. The influence on viscera and bowels was deeper in phlegm-heat obstructing lung syndrome group than in cold-phlegm obstructing lung syndrome group. It is helpful to diagnose Zheng classification and to improve the diagnosis rate by analyzing the infrared thermal images of patients. The application of infrared thermal imaging technology provided objective measures for medical diagnosis and treatment in the field of Zheng studies and provided a new methodology for Zheng classification.

scholarly journals Fast eye localization from thermal images using neural networks

2016 ◽  
Author(s):  
Mariusz Marzec ◽  
Aleksander Lamża ◽  
Zygmunt Wróbel ◽  
Andrzej Dziech
Keyword(s):  
Neural Networks ◽  
Thermal Images ◽  
Eye Localization

A novel method to infrared thermal images vessel extraction based on fractal dimension

2020 ◽  
Vol 107 ◽  
pp. 103297 ◽  
Author(s):  
Mitra Navid ◽  
Seyede Shahrbanoo Fallahie Hamidpour ◽  
Farzad Khajeh-Khalili ◽  
Mansour Alidoosti
Keyword(s):  
Fractal Dimension ◽  
Thermal Images ◽  
Novel Method ◽  
Infrared Thermal Images ◽  
Vessel Extraction

Experimental Study on the Infrared Information of Metal Specimen when Loaded

2005 ◽  
Vol 297-300 ◽  
pp. 1968-1972
Author(s):  
Lai Gui Wang ◽  
Chunbin Wu ◽  
Feng He ◽  
Shu Hong Wang
Keyword(s):  
Test Specimen ◽  
Testing Machine ◽  
Stress Concentrations ◽  
Remarkable Change ◽  
Thermal Images ◽  
Metal Specimen ◽  
Infrared Imager ◽  
Metal Materials ◽  
Infrared Thermal Images ◽  
Metal Failure

Metal materials especially steel or cast iron are used extensively in many types of construction such as buildings, bridges, cranes, vehicles and so on, so detection or prediction of metal failure is very important, but deformation of metal material often deliveries heat energy which can be detected by infrared imager. The test specimen is installed between the two grips of the testing machine and then loaded in tension and in compression. The IR913A infrared imager is used to observe the deformation of metal specimen. The high-sensitive infrared thermal images of metal specimen in the different phase of deformation are obtained. The paper theoretically analyzes the reason from the thermodynamics and plastic mechanics, the conclusions are drawn as follows: 1) When applying loads, temperature field on the surface of metal specimen is changing, the local rise of temperature is remarkable, this can be observed from the infrared thermal images. 2) From the infrared thermal images, rising temperatures are found in the regions of stress concentrations. 3) When the test specimen approaches to failure or appears fracture, there is a remarkable change that can be shown from the infrared thermal images with remarkable colors.

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