Research on passive wide-band uncooled infrared imaging detection technology for gas leakage

2020 ◽  
Author(s):  
Xu Zhang ◽  
Weiqi Jin ◽  
Pan Yuan ◽  
Chao Qin ◽  
Hongchen Wang ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Wide Band ◽  
Gas Leakage ◽  
Detection Technology ◽  
Imaging Detection ◽  
Uncooled Infrared Imaging

The application of ghost imaging in infrared imaging detection technology

2015 ◽  
Author(s):  
Hongtao Peng ◽  
Zhaohua Yang ◽  
Dapeng Li ◽  
Ling-an Wu
Keyword(s):  
Infrared Imaging ◽  
Ghost Imaging ◽  
Detection Technology ◽  
Imaging Detection

A new deep space hyperspectral diffraction computational imaging detection technology(Invited)

2020 ◽  
Vol 49 (5) ◽  
pp. 20201005
Author(s):  
范斌 Bin Fan ◽  
刘彦丽 Yanli Liu ◽  
赵海博 Haibo Zhao ◽  
徐婧 Jing Xu ◽  
孙权森 Quansen Sun ◽  
...  
Keyword(s):  
Computational Imaging ◽  
Deep Space ◽  
Detection Technology ◽  
Imaging Detection

Uncooled infrared imaging using bimaterial microcantilever arrays

2006 ◽  
Vol 89 (7) ◽  
pp. 073118 ◽  
Author(s):  
D. Grbovic ◽  
N. V. Lavrik ◽  
P. G. Datskos ◽  
D. Forrai ◽  
E. Nelson ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Microcantilever Arrays ◽  
Uncooled Infrared Imaging

Detection Accuracy on X-Ray Real Time Imaging for Cast Aluminum Parts

2012 ◽  
Vol 452-453 ◽  
pp. 1513-1517
Author(s):  
Ai Guo Wang ◽  
Dong Lin Yang ◽  
Peng Zhao
Keyword(s):  
Real Time ◽  
Influence Factors ◽  
Experimental Result ◽  
Detection Accuracy ◽  
Cast Aluminum ◽  
X Ray ◽  
Imaging Quality ◽  
Real Time Imaging ◽  
Detection Technology ◽  
Imaging Detection

x-ray real time imaging detection technology is a kind of important way for industrial nondestructive test. On the basis of basic theory on X-ray detection, The influence factors on x-ray real time imaging detection precision is analyzed in this article. Through analysis for the focus of X-ray source and the unintelligibility of geometric image, the relation between the optimal amplification multiple and the imaging quality is presented and the electric collimator to solve the influence on imaging quality from the scattered ray. The experimental result shows that the detection resolution ratio is up to 50PL/cm and the sensitivity is up to 1.4 % to solve the on-line real time detection for pore, inclusion and looseness and verify the application feasibility in the detection of cast aluminum parts for x-ray real time imaging detection technology.

Method for Uncooled Infrared Image Processing

2013 ◽  
Vol 427-429 ◽  
pp. 1948-1951
Author(s):  
Jia Lin Ma ◽  
Xia Zhang
Keyword(s):  
Image Processing ◽  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Detector ◽  
Infrared Image ◽  
National Defense ◽  
Histogram Modification ◽  
Infrared Image Processing ◽  
Manufacturing Techniques ◽  
Uncooled Infrared Imaging

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.

scholarly journals Infrared Stripe Correction Algorithm Based on Wavelet Analysis and Gradient Equalization

2019 ◽  
Vol 9 (10) ◽  
pp. 1993 ◽  
Author(s):  
Ende Wang ◽  
Ping Jiang ◽  
Xukui Hou ◽  
Yalong Zhu ◽  
Liangyu Peng
Keyword(s):  
Wavelet Analysis ◽  
Infrared Imaging ◽  
Signal To Noise Ratio ◽  
Vertical Component ◽  
Infrared Image ◽  
Structural Similarity ◽  
Correction Algorithm ◽  
Uncooled Infrared Imaging ◽  
Correction Result ◽  
Better Than

In the uncooled infrared imaging systems, owing to the non-uniformity of the amplifier in the readout circuit, the infrared image has obvious stripe noise, which greatly affects its quality. In this study, the generation mechanism of stripe noise is analyzed, and a new stripe correction algorithm based on wavelet analysis and gradient equalization is proposed, according to the single-direction distribution of the fixed image noise of infrared focal plane array. The raw infrared image is transformed by a wavelet transform, and the cumulative histogram of the vertical component is convolved by a Gaussian operator with a one-dimensional matrix, in order to achieve gradient equalization in the horizontal direction. In addition, the stripe noise is further separated from the edge texture by a guided filter. The algorithm is verified by simulating noised image and real infrared image, and the comparison experiment and qualitative and quantitative analysis with the current advanced algorithm show that the correction result of the algorithm in this paper is not only mild in visual effect, but also that the structural similarity (SSIM) and peak signal-to-noise ratio (PSNR) indexes can get the best result. It is shown that this algorithm can effectively remove stripe noise without losing details, and the correction performance of this method is better than the most advanced method.

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