Paper Info
Title
Precise acquisition and unsupervised segmentation of multi-spectral images
Abstract
In this work, an integrated imaging system to obtain accurate and reproducible multi-spectral images and a novel multi-spectral image segmentation algorithm are proposed. The system collects up to 20 different spectral bands within a range that vary from 395nm to 970nm. The system is designed to acquire geometrically and chromatically corrected images in homogeneous and diffuse illumination, so images can be compared over time. The proposed segmentation algorithm combines the information provided by all the spectral bands to segment the different regions of interest. Three experiments are conducted to show the ability of the system to acquire highly precise, reproducible and standardized multi-spectral images and to show its applicabilities in different situations.
Year
DOI
Venue
2007
10.1016/j.cviu.2006.06.011
Computer Vision and Image Understanding
Keywords
Field
DocType
diffuse illumination,precise acquisition,spectral band,integrated imaging system,unsupervised segmentation,proposed segmentation algorithm,reproducible multi-spectral image,different region,different situation,novel multi-spectral image segmentation,standardized multi-spectral image,different spectral band,exploratory data analysis,region of interest,illumination,pattern recognition,image segmentation,image analysis
Computer vision,Segmentation,Image processing,Image segmentation,Artificial intelligence,Multispectral pattern recognition,Spectral bands,Luminance,Exploratory data analysis,Multi spectral,Mathematics
Journal
Volume
Issue
ISSN
106
2-3
Computer Vision and Image Understanding
Citations 
PageRank 
References 
8
1.16
12
Authors
7
Name
Order
Citations
PageRank
David Delgado Gomez1629.67
Line Harder Clemmensen2346.52
Bjarne Ersbøll345038.06
Jens Michael Carstensen48314.27
GomezDavid Delgado581.16
ClemmensenLine Harder6121.77
CarstensenJens Michael781.16