Research on infrared multispectral imaging detection technology

2009 ◽  
Author(s):  
Hong Xu ◽  
Xiangjun Wang ◽  
Yanan Yu
Keyword(s):  
Multispectral Imaging ◽  
Detection Technology ◽  
Imaging Detection

Study on airborne multispectral imaging fusion detection technology

2014 ◽  
Author(s):  
Na Ding ◽  
Jiaobo Gao ◽  
Jun Wang ◽  
Juan Cheng ◽  
Meng Gao ◽  
...  
Keyword(s):  
Multispectral Imaging ◽  
Detection Technology ◽  
Fusion 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

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.

Ultrasonic Phased Array 3D Imaging for the Steel Butt Weld Defects

2015 ◽  
Vol 727-728 ◽  
pp. 799-803 ◽  
Author(s):  
Zhi Hao Liu ◽  
Chao Lu
Keyword(s):  
Phased Array ◽  
Programming Algorithm ◽  
Butt Weld ◽  
Test Information ◽  
Detection Technology ◽  
Array Probe ◽  
Ultrasonic Phased Array ◽  
Imaging Detection ◽  
Linear Array Probe ◽  
Array Imaging

Ultrasonic phased array imaging detection technology combinating the focused beam and array probe movement can get powerful test information. It has been widely used in the steel butt weld detection. For making up the limitations of 2D view, in this paper,we used one-dimensional linear array probe, got 2D slice view data obtained by phased array ultrasonic S-scan, through software programming algorithm to realize 3D reconstruction of steel butt weld typical defects. Experiment shows that it can display more intuitive performance of the defects in space. Revealing a better shape, size and orientation information. Providing a reference for the final evaluation of the defect.

VC-Based Rutting Digital Imaging Automatic Detection Technology Research and Design for Road Construction

2012 ◽  
Vol 461 ◽  
pp. 370-372
Author(s):  
Yue Zhang ◽  
Ting Ting Gao
Keyword(s):  
Data Storage ◽  
Digital Imaging ◽  
Road Construction ◽  
Automatic Detection ◽  
Detection Methods ◽  
The Road ◽  
Detection Technology ◽  
Digital Imaging Technology ◽  
Imaging Detection ◽  
Road Data

With the road construction, an automatic detection of road surface of rutting will be the main detection methods. VC-based digital imaging detection technology has an advantage of the vehicle, such as a simple structure, amount of data storage capacity, less affected by vehicle vibration. This article based on digital imaging technology detects grayscale bitmap format captured image information of the rutting. It focused on the grayscale bitmap image processing. The article shows that by generating curve can accurately reflect the actual situation of the road. And it can greatly improve the efficiency of road data and the accuracy of automatic detection.

Study on multispectral imaging detection and recognition

2009 ◽  
Author(s):  
Wang Jun ◽  
Ding Na ◽  
Jiaobo Gao ◽  
Hu Yu ◽  
Wu Jun ◽  
...  
Keyword(s):  
Multispectral Imaging ◽  
Imaging Detection ◽  
Detection And Recognition
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