Real-time infrared image processing for control and monitoring of greenhouse system

2020 ◽  
Vol 14 (02) ◽  
pp. 1
Author(s):  
Ferzan Katırcıoğlu
2011 ◽  
Author(s):  
Tian Si ◽  
Lizhi Wang ◽  
Yijia Tian ◽  
Junju Zhang

2005 ◽  
Author(s):  
Hongyan Zhuo ◽  
Rong Zhang ◽  
Zai-Ming Li ◽  
Zhi-zhong Fu ◽  
Jian-tao Wu ◽  
...  

2012 ◽  
Vol 461 ◽  
pp. 206-210 ◽  
Author(s):  
Zhi Gang Li ◽  
Yu Qian Zhao

Low contrast and shortage of gray levels are two main characteristics of infrared image. According to the characteristics of infrared image, a simple and practical video format MHIVF (Mitthögskolans Interlaced Video Format) and conversion technique are introduced. This kind of video format can simplify the infrared image processing. Infrared image real-time enlargement system based on FPGA is designed and the bilinear interpolation algorithm is selected for image enlargement. The experiment results show that the designed system has a lower complexity and image processing speed is obviously increased


2012 ◽  
Vol 49 (8) ◽  
pp. 081404
Author(s):  
郭汝海 Guo Ruhai ◽  
孙涛 Sun Tao ◽  
王兵 Wang Bing

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.


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