Line-scan hyperspectral imaging system for real-time inspection of poultry carcasses with fecal material and ingesta

2011 ◽  
Vol 79 (2) ◽  
pp. 159-168 ◽  
Author(s):  
Seung Chul Yoon ◽  
Bosoon Park ◽  
Kurt C. Lawrence ◽  
William R. Windham ◽  
Gerald W. Heitschmidt
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Imaging System ◽  
Fecal Material ◽  
Line Scan

Development of real-time line-scan hyperspectral imaging system for online agricultural and food product inspection

2010 ◽  
Author(s):  
Seung Chul Yoon ◽  
Bosoon Park ◽  
Kurt C. Lawrence ◽  
William R. Windham ◽  
Gerald W. Heitschmidt
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Imaging System ◽  
Food Product ◽  
Time Line ◽  
Line Scan

A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses

2003 ◽  
Vol 11 (4) ◽  
pp. 269-281 ◽  
Author(s):  
Kurt C. Lawrence ◽  
William R. Windham ◽  
Bosoon Park ◽  
R. Jeff Buhr
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging System ◽  
Principal Component ◽  
Ccd Camera ◽  
Sample Population ◽  
Multivariate System ◽  
Ratio Image ◽  
On Line

A method and system for detecting faecal and ingesta contaminants on poultry carcasses were demonstrated. A visible/near infrared monochromator, which measured reflectance and principal component analysis were first used to identify key wavelengths from faecal and uncontaminated skin samples. Measurements at 434, 517, 565 and 628 nm were identified and used for evaluation with a hyperspectral imaging system. The hyperspectral imaging system, which was a line-scan (pushbroom) imaging system, consisted of a hyperspectral camera, fibre-optic line lights, a computer and frame grabber. The hyperspectral imaging camera consisted of a high-resolution charge coupled device (CCD) camera, a prism-grating-prism spectrograph, focusing lens, associated optical hardware and a motorised controller. The imaging system operated from about 400 to 900 nm. The hyperspectral imaging system was calibrated for wavelength, distance and percent reflectance and analysis of calibrated images at the key wavelengths indicated that single-wavelength images were inadequate for detecting contaminants. However, a ratio of images at two of the key wavelengths was able to identify faecal and ingesta contaminants. Specifically, the ratio of the 565-nm image divided by the 517-nm image produced good results. The ratio image was then further processed by masking the background and either enhancing the image contrast with a non-linear histogram stretch, or applying a faecal threshold. The results indicated that, for the limited sample population, more than 96% of the contaminants were detected. Thus, the hyperspectral imaging system was able to detect contaminants and showed feasibility, but was too slow for real-time on-line processing. Therefore, a multivariate system operating at 565 and 517 nm, which should be capable of operating at real-time on-line processing speed, should be used. Further research with such a system needs to be conducted.

Real-time georeferencing for an airborne hyperspectral imaging system

2011 ◽  
Author(s):  
Thomas Opsahl ◽  
Trym V. Haavardsholm ◽  
Ingebrigt Winjum
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Imaging System

Line-scan hyperspectral imaging for real-time poultry fecal detection

2010 ◽  
Author(s):  
Bosoon Park ◽  
Seung-Chul Yoon ◽  
William R. Windham ◽  
Kurt C. Lawrence ◽  
G. W. Heitschmidt ◽  
...  
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Line Scan

World's fastest real-time line scan microscopic imaging system with 1GHz frame rate

2013 ◽  
Author(s):  
Fangjian Xing ◽  
Hongwei Chen ◽  
Minghua Chen ◽  
Sigang Yang ◽  
Hongchen Yu ◽  
...  
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Frame Rate ◽  
Time Line ◽  
Microscopic Imaging ◽  
Line Scan

scholarly journals A Simulation Environment for Validation and Verification of Real Time Hyperspectral Processing Algorithms on-Board a UAV

2019 ◽  
Vol 11 (16) ◽  
pp. 1852 ◽  
Author(s):  
Pablo Horstrand ◽  
José Fco. López ◽  
Sebastián López ◽  
Tapio Leppälampi ◽  
Markku Pusenius ◽  
...  
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Hyperspectral Image ◽  
Imaging System ◽  
Electromagnetic Spectrum ◽  
Simulation Environment ◽  
Validation And Verification ◽  
Hyperspectral Image Processing ◽  
Whole Process ◽  
Processing Algorithms

The utilization of hyperspectral imaging sensors has gained a significant relevance among many different applications due to their capability for collecting a huge amount of information across the electromagnetic spectrum. These sensors have been traditionally mounted on-board satellites and airplanes in order to extract information from the Earth’s surface. Fortunately, the progressive miniaturization of these sensors during the last lustrum has enabled their use in other remote sensing platforms, such as drones equipped with hyperspectral cameras which bring advantages in terms of higher spatial resolution of the acquired images, more flexible revisit times and lower cost of the flight campaigns. However, when these drones are autonomously flying and taking real-time critical decisions from the information contained in the captured images, it is crucial that the whole process takes place in a safe and predictable manner. In order to deal with this problem, a simulation environment is presented in this work to analyze the virtual behavior of a drone equipped with a pushbroom hyperspectral camera used for assisting harvesting applications, which enables an exhaustive and realistic validation and verification of the drone real-time hyperspectral imaging system prior to its launch. To the best of the authors’ knowledge, the proposed environment represents the only solution in the state-of-the-art that allows the virtual verification of real-time hyperspectral image processing algorithms under realistic conditions.

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