Tunable filter-based multispectral imaging for detection of blood stains on construction material substrates part 2: realization of rapid blood stain detection

2013 ◽  
Vol 52 (20) ◽  
pp. 4898 ◽  
Author(s):  
Suwatwong Janchaysang ◽  
Sarun Sumriddetchkajorn ◽  
Prathan Buranasiri
Keyword(s):  
Multispectral Imaging ◽  
Construction Material ◽  
Tunable Filter ◽  
Blood Stains

Acousto-optic tunable filter multispectral imaging system

1992 ◽  
Author(s):  
LI-JEN CHENG ◽  
TIEN-HSIN CHAO ◽  
GEORGE REYES
Keyword(s):  
Multispectral Imaging ◽  
Imaging System ◽  
Tunable Filter

Analysis of the deviation of the dif fracted beams caused by acousto-optic tunable filter in multispectral imaging

2011 ◽  
Vol 9 (8) ◽  
pp. 081101-81103
Author(s):  
杨瑀 Yu Yang ◽  
沙学军 Xuejun Sha ◽  
张中华 Zhonghua Zhang
Keyword(s):  
Multispectral Imaging ◽  
Tunable Filter

The Study on Spectral Imaging Technique in Detection of Dermatosis

2012 ◽  
Vol 472-475 ◽  
pp. 879-882
Author(s):  
Yan Ping Chen ◽  
Jiao Dai ◽  
Ling Hua Kong ◽  
Chun Bin Li
Keyword(s):  
Liquid Crystal ◽  
Skin Disease ◽  
Multispectral Imaging ◽  
Imaging Technique ◽  
Spectral Imaging ◽  
Cost Effective ◽  
Tunable Filter ◽  
Human Beings ◽  
Imaging Technology ◽  
Filter Wheel

Dermatosis, a kind of common and frequent disease, is harmful to health and risk against the lives of human beings. The detection of dermatosis is of great significance, especially to the early diagnosis of skin disease. Nowadays, the studies of spectral imaging technology in the diagnosis of skin disease are attracting more and more attentions. In this paper, we firstly review some literary products related to dermatosis detection and then make a comparison among fluorescence spectrum method, filter wheel method, liquid crystal tunable filter (LCTF) method and mosaic multispectral imaging technology. Finally we propose that the smaller, lighter and more cost-effective equipment should be the trend.

High dynamic range multispectral imaging using liquid crystal tunable filter

2010 ◽  
Author(s):  
Boneng Tan ◽  
Ningfang Liao ◽  
Lixun Tian ◽  
Jiajia Wang ◽  
Yusheng Lianry
Keyword(s):  
Liquid Crystal ◽  
Multispectral Imaging ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Tunable Filter ◽  
High Dynamic

scholarly journals Data Fusion of Two Hyperspectral Imaging Systems with Complementary Spectral Sensing Ranges for Blueberry Bruising Detection

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4463 ◽  
Author(s):  
Shuxiang Fan ◽  
Changying Li ◽  
Wenqian Huang ◽  
Liping Chen
Keyword(s):  
Feature Selection ◽  
Data Fusion ◽  
Hyperspectral Imaging ◽  
Multispectral Imaging ◽  
Feature Selection Method ◽  
Tunable Filter ◽  
Support Vector ◽  
Spectroscopic Techniques ◽  
Decision Level ◽  
Spectral Ranges

Currently, the detection of blueberry internal bruising focuses mostly on single hyperspectral imaging (HSI) systems. Attempts to fuse different HSI systems with complementary spectral ranges are still lacking. A push broom based HSI system and a liquid crystal tunable filter (LCTF) based HSI system with different sensing ranges and detectors were investigated to jointly detect blueberry internal bruising in the lab. The mean reflectance spectrum of each berry sample was extracted from the data obtained by two HSI systems respectively. The spectral data from the two spectroscopic techniques were analyzed separately using feature selection method, partial least squares-discriminant analysis (PLS-DA), and support vector machine (SVM), and then fused with three data fusion strategies at the data level, feature level, and decision level. The three data fusion strategies achieved better classification results than using each HSI system alone. The decision level fusion integrating classification results from the two instruments with selected relevant features achieved more promising results, suggesting that the two HSI systems with complementary spectral ranges, combined with feature selection and data fusion strategies, could be used synergistically to improve blueberry internal bruising detection. This study was the first step in demonstrating the feasibility of the fusion of two HSI systems with complementary spectral ranges for detecting blueberry bruising, which could lead to a multispectral imaging system with a few selected wavelengths and an appropriate detector for bruising detection on the packing line.

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