A new method of multispectral image processing with camouflage effect detection

2015 ◽  
Author(s):  
Jianghua Hu ◽  
Guangzhen Cui ◽  
Lei Qin
Keyword(s):  
Image Processing ◽  
Multispectral Image ◽  
New Method ◽  
Multispectral Image Processing

UAV-Based Crop Monitoring Through Multispectral Image Processing using Open-Source Tools

2020 ◽  
Author(s):  
Pedro Castro ◽  
João Borges ◽  
Sofia Klautau ◽  
Samya Pinheiro ◽  
Lucas Shibata ◽  
...  
Keyword(s):  
Image Processing ◽  
Open Source ◽  
Multispectral Image ◽  
Crop Monitoring ◽  
Multispectral Image Processing

scholarly journals Advanced multispectral image-processing endoscopy system for visualizing two-dimensional hemoglobin saturation and relative hemoglobin concentration

2019 ◽  
Vol 07 (11) ◽  
pp. E1442-E1447
Author(s):  
Toru Chiba ◽  
Yoshimi Obara ◽  
Masaharu Murata ◽  
Tomohiko Akahoshi
Keyword(s):  
Image Processing ◽  
Tumor Hypoxia ◽  
Small Animal ◽  
Multispectral Image ◽  
Frame Rate ◽  
Two Dimensional ◽  
Endoscope System ◽  
Hb Concentration ◽  
Multispectral Image Processing

Abstract Background and study aims The association of tumor hypoxia and vascularization with malignant progression is recognized, and detection by measuring tissue hemoglobin (Hb) saturation and concentration has attracted attention. In this study, we designed a simple algorithm and multispectral image-processing endoscopy system to map relative Hb concentration and Hb saturation for detection of tumors in small animal viscera in vivo. Materials and methods We designed and validated an optical filter-equipped endoscope system for two-dimensional visualization of Hb concentration and saturation maps and used it in a real-time video examination. A simplified method based on spectral data capture and analysis of defuse reflection of mucosa, including image capture and data processing of the spectral features of Hb oxygenation, was developed. Results An Hb saturation calibration curve was obtained. Then, differences in oxygenation levels between normal mucosa and in vivo tumors in a small animal model were determined by using the new method and endoscope system. Conclusions A multispectral image-processing endoscopic system with a mapping frame rate comparable to that of white light imaging systems (7.5 frames/second) was developed.

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