NDLI: AOTF based molecular hyperspectral imaging system and its image pre-processing method

Content Provider	IEEE Xplore Digital Library
Author	Gao, Yunfeng Zhou, Mei Li, Qingli Liu, Hongying Zhang, Yang
Copyright Year	2015
Description	Author affiliation: Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China (Gao, Yunfeng; Zhou, Mei; Li, Qingli; Liu, Hongying; Zhang, Yang)
Abstract	Utilizing both spectral and spatial information, hyperspectral images provide more detail than the single point spectroscopy or traditional images. With the improvement of hyperspectral imaging instrumentation, hyperspectral data analysis techniques are getting more attention. However, desired analysis and results depend strongly on the quality of image preprocessing. In this paper, we obtained hyperspectral images through an Acousto-Optic Tunable Filter (AOTF) based molecular hyperspectral imaging (MHI) system. Then the Lambert-Beer law based pre-processing method was presented to calibrate molecular hyperspectral images. This method combines the advantages of spectral correction and spatial denoising. We applied K-Means classification algorithm and IsoData classification algorithm to the preprocessed blood cell images and the experimental results prove the performance of the preprocessing method which is useful for the further classification.
Starting Page	14
Ending Page	18
File Size	802890
Page Count	5
File Format	PDF
e-ISBN	9781509000227
DOI	10.1109/BMEI.2015.7401465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	pre-processing method Noise reduction Filtering algorithms molecular hyperspectral imaging (MHI) system Lambert-Beer law hyperspectral images Blood Hyperspectral imaging Biomedical imaging
Content Type	Text
Resource Type	Article

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