Lock-in thermal wave nondestructive evaluation using a high-speed IR focal plane array imaging system

1999 ◽  
Author(s):  
Zhong Ouyang ◽  
Lixin Yang ◽  
Ling Zhang ◽  
L. D. Favro ◽  
R. L. Thomas
Keyword(s):  
Nondestructive Evaluation ◽  
Thermal Wave ◽  
Focal Plane ◽  
High Speed ◽  
Imaging System ◽  
Focal Plane Array ◽  
Lock In ◽  
Array Imaging

Examination of Cotton Maturity and Maturity Distribution Using an Infrared Focal Plane Array Imaging System

2021 ◽  
Vol 8 (1) ◽  
pp. 14-24
Author(s):  
Michael Santiago Cintron ◽  
Terri Von Hoven ◽  
Doug J. Hinchliffe ◽  
Rebecca Hron
Keyword(s):  
Cell Wall ◽  
Focal Plane ◽  
Upland Cotton ◽  
Secondary Cell Wall ◽  
Imaging System ◽  
Focal Plane Array ◽  
Contour Plots ◽  
Array Imaging ◽  
Non Destructive ◽  
Destructive Methods

Cotton maturity describes the thickness of the cotton secondary cell wall. There is a need for developing non-destructive methods for measuring maturity that also examine distribution. The current study seeks to expand reported infrared (IR)-based maturity determinations using an IR imaging system with a focal-plane array (FPA) detector. Adapted equations were used to examine the maturity of cotton standards and of a larger set of upland cotton varieties (30 total). Maturity values obtained with a Cottonscope and from IR determinations showed strong linearity, R2 = 0.95, while contour plots provided a visual representation of the maturity distribution in the samples. These results validate the use of IR measurement for examining cotton maturity and establish the use of the FPA IR system for examining and imaging cotton maturity distributions.

Application of a Spectroscopic Infrared Focal Plane Array Sensor for On-Line Identification of Plastic Waste

1997 ◽  
Vol 51 (6) ◽  
pp. 856-865 ◽  
Author(s):  
W. H. A. M. Van Den Broek ◽  
D. Wienke ◽  
W. J. Melssen ◽  
R. Feldhoff ◽  
T. Huth-Fehre ◽  
...  
Keyword(s):  
Focal Plane ◽  
High Speed ◽  
Supervised Classification ◽  
Imaging System ◽  
Spectroscopic Imaging ◽  
Focal Plane Array ◽  
Array Detector ◽  
Identification System ◽  
Linear Discriminant ◽  
On Line

A spectroscopic near-infrared imaging system, using a focal plane array (FPA) detector, is presented for remote and on-line measurements on a macroscopic scale. On-line spectroscopic imaging requires high-speed sensors and short image processing steps. Therefore, the use of a focal plane array detector in combination with fast chemometric software is investigated. As these new spectroscopic imaging systems generate so much data, multivariate statistical techniques are needed to extract the important information from the multidimensional spectroscopic images. These techniques include principal component analysis (PCA) and linear discriminant analysis (LDA) for supervised classification of spectroscopic image data. Supervised classification is a tedious task in spectroscopic imaging, but a procedure is presented to facilitate this task and to provide more insight into and control over the composition of the datasets. The identification system is constructed, implemented, and tested for a real-world application of plastic identification in municipal solid waste.

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