Application of Passive Thermal Infrared Imaging to Study Ice and Snow Accretion on Automobiles in Cold Regions

2013 ◽  
Vol 739 ◽  
pp. 481-485
Author(s):  
S. Virk Muhammad

The resultant effect of ice and snow accretion on automobiles in cold regions may induce performance losses by provoking mechanical system failures and structural damages. Different methods for ice/snow detection and measurement have been used by researchers, ranging from simple monitoring techniques to advanced complex ones. Thermal infrared image processing based techniques can be a promising way for ice and snow detection on different surface of automobiles in cold regions, but have not extensively been studied so far. This paper presents a preliminary study about application of thermal infrared image processing based techniques for ice and snow detection on various automobiles in cold regions. Preliminary field measurements have been carried out by researchers of Narvik University College in northern part of Norway during winter 2012-2013, where results have shown a potential in this technique. Better knowledge of vehicle performance in icy conditions will help the designers to improve safe driving conditions.

2013 ◽  
Vol 427-429 ◽  
pp. 1948-1951
Author(s):  
Jia Lin Ma ◽  
Xia Zhang

Uncooled infrared imaging system has been increasingly applied in both the national defense and various fields of national economy. Such popularity is attributed to many of its advantages, including small size, light weight, low energy-consumption and superior portability. However, as limited by the structure and the material of infrared detector and the manufacturing techniques, infrared images are plagued with low resolution and poor image quality. This paper mainly studies the uncooled infrared image processing based on the gray levels partition processing, gray levels stretching and histogram modification, it aims to enhance the visual effect of infrared image.


2017 ◽  
Vol 60 (5) ◽  
pp. 1457-1466 ◽  
Author(s):  
Geng Bai ◽  
Sarah Blecha ◽  
Yufeng Ge ◽  
Harkamal Walia ◽  
Piyaporn Phansak

Abstract. Effective screening of plant genotypes for their tolerance to abiotic stress is a vital step for crop improvement. Various sensing technologies can be used for developing automated plant phenotyping systems as well as for better control of stress levels imposed on the plants. In this study, seven different wheat genotypes (G1 through G7) were grown under two different water regimes in a greenhouse. Soil moisture was monitored by soil water tension sensors distributed among the experimental plots. A sensor platform with two cameras (a multispectral camera and a thermal infrared camera) was developed to capture top-view images of the wheat plots (once a week) during the course of the experiment. Image processing algorithms were developed to extract wheat growth index (GI) and crop water stress index (CWSI). Ratios of GI and CWSI between the two water treatments were calculated as proxies to assess drought tolerance of the different genotypes. The results showed that GI was correlated with NDVI measured by a GreenSeeker sensor (R2 = 0.65). Among the seven wheat genotypes studied, G5, G6, and G7 exhibited consistently higher GI ratios and lower CWSI ratios, an indication of their superiority in drought tolerance. It was also found that non-uniform environmental conditions in the greenhouse had quite a large influence on wheat growth, which made the characterization and differentiation of phenotypes among various genotypes more challenging. It is concluded that the multispectral and thermal infrared imaging system has potential for phenotypic screening of wheat genotypes for drought tolerance in a semi-controlled environment. Keywords: CWSI, Drought, Image processing, Multispectral imaging, Phenotyping, Thermal infrared imaging.


2008 ◽  
pp. 347-359 ◽  
Author(s):  
David J. Schneider ◽  
James W. Vallance ◽  
Rick L. Wessels ◽  
Matthew Logan ◽  
Michael S. Ramsey

Sign in / Sign up

Export Citation Format

Share Document