scholarly journals Application of thermal imaging for detecting cold air leak location in cold storage

Author(s):  
P. Pathmanaban ◽  
Shanmuga Sundaram Anandan ◽  
B. K. Gnanavel ◽  
C. P. Murigan

<span>Nowadays Cold storage has been playing an important role in preserving the perishable food products like fruits, vegetables, dairy products, fish, and meat etc. The major problem of cold storage is unwanted energy transmission during the operation. It is necessary to maintain the constant temperature during storing the products. There are different kinds of energy loss happening during the operation. One of the major causes is cold air leaking from the inside of the cold room to outside. It is due to poor insulation and improper maintenance of cold storage. It is very difficult to identify the exact location of the leak by the naked eye. In this research work, the cold storage was inspected with the thermal imaging system. Thermal cameras are highly sensitive to temperature and it can detect the variation of temperature ranging from 0.1°C. The measured temperatures are further converted into a colour based pattern. It is known as thermogram. These colour-based thermal patterns are further processed for identifying energy transmission location. It is done by applying various image processing methods such as histogram equalization, diffusion error, otsu thresholding and morphologic function. These techniques were applied to images of cold storages and exact cold air transmission locations were identified.</span>

2005 ◽  
Vol 38 (1) ◽  
pp. 115-118 ◽  
Author(s):  
Klaus Gottschalk ◽  
Sabine Geyer ◽  
Hans-Jürgen Hellebrand

2015 ◽  
Vol 24 (4) ◽  
pp. 264-269
Author(s):  
Byung Mok Sung ◽  
Dong Geon Jung ◽  
Soon Jae Bang ◽  
Sun Min Baek ◽  
Seong Ho Kong

2021 ◽  
Vol 310 ◽  
pp. 01002
Author(s):  
Dmitriy Otkupman ◽  
Sergey Bezdidko ◽  
Victoria Ostashenkova

The efficiency of using Zernike moments when working with digital images obtained in the infrared region of the spectrum is considered to improve the accuracy and speed of an autonomous thermal imaging system. The theoretical justification of the choice of Zernike moments for solving computer (machine) vision problems and the choice of a suitable threshold binarization method is given. In order to verify the adequacy and expediency of using the chosen method, practical studies were conducted on the use of Zernike methods for distorting various thermal images in shades of gray.


2021 ◽  
Vol 36 (6) ◽  
pp. 886-895
Author(s):  
Hai-lin ZHONG ◽  
◽  
Yue-tao YANG ◽  
Xin WANG ◽  
Feng CAO ◽  
...  

2018 ◽  
pp. 1109-1132 ◽  
Author(s):  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
Afnan S. Althoupety

Thermal imaging is a non-destructive, non-contact and rapid system. It reports temperature through measuring infrared radiation emanated by an object/ material surface. Automated thermal imaging system involves thermal camera equipped with infrared detectors, signal processing unit and image acquisition system supported by computer. It is elaborated in wide domains applications. Extensive focus is directed to the thermal imaging in the medical domain especially breast cancer detection. This chapter provided the main concept and the different applications of thermal imaging. It explores and analyses several works in the light of studding the thermograph. It is an effective screening tool for breast cancer prediction. Studies justify that thermography can be considered a complementary tool to detect breast diseases. The current chapter reviews many usages and limitations of thermography in biomedical field. Extensive recommendations for future directions are summarized to provide a structured vision of breast thermography.


2018 ◽  
Vol 38 (12) ◽  
pp. 1231001
Author(s):  
付秀华 Fu Xiuhua ◽  
刘文奇 Liu Wenqi ◽  
尹士平 Yin Shiping ◽  
刘克武 Liu Kewu ◽  
刘冬梅 Liu Dongmei

2020 ◽  
Vol 97 (10) ◽  
pp. 3887-3891
Author(s):  
Ronald Soong ◽  
Amy Jenne ◽  
Rajshree Ghosh Biswas ◽  
Antonio Adamo ◽  
Andre Simpson

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