Multispectral imaging for improved liquid classification in security sensor systems

Andrea Burns; Waheed U. Bajwa

doi:10.1117/12.2304696

8 May 2018 Multispectral imaging for improved liquid classification in security sensor systems

Andrea Burns, Waheed U. Bajwa

Proceedings Volume 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV; 1064418 (2018) https://doi.org/10.1117/12.2304696
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Multispectral imaging can be used as a multimodal source to increase prediction accuracy of many machine learning algorithms by introducing additional spectral bands in data samples. This paper introduces a newly curated Multispectral Liquid 12-band (MeL12) dataset, consisting of 12 classes: eleven liquids and an "empty container" class. Multispectral images in this dataset have been captured using the PCO Ultraviolet, Grasshopper3 12.3 MP Color USB3 Vision, Mil-Rugged-High Resolution Snapshot Short Wave Infrared 1280JS, FLIR Medium Wave Infrared A6750sc and FLIR Long Wave Infrared T650sc cameras. Each of the classes initially results in a 640 × 480 × 12 data cube, where the 12 × 1 vector for each spectral pixel spans the spectral bands observed using the above-mentioned cameras and seven add-on bandpass optical filters. The usefulness of multispectral imaging in classification of liquids is demonstrated through the use of a support vector machine on MeL12 for classification of the 12 classes. The reported results are both encouraging and point to the need for additional work to improve liquid classification of harmless and dangerous liquids in high-risk environments, such as airports, concert halls, and political arenas, using multispectral imaging.

Conference Presentation

Citation Download Citation

Andrea Burns and Waheed U. Bajwa "Multispectral imaging for improved liquid classification in security sensor systems", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 1064418 (8 May 2018); https://doi.org/10.1117/12.2304696

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available