An Automated Probe Handling and Image Inspection System for the Recognition of Biological Hazardous Material in the Air - Volume 8 Number 2 (Apr. 2018) - IJMLC
  • Aug 09, 2018 News! Vol. 6, No. 4-No. 7, No. 3 has been indexed by EI(Inspec)!   [Click]
  • Aug 09, 2018 News!Good News! All papers from Volume 8, Number 3 have been indexed by Scopus!   [Click]
  • May 23, 2018 News![CFP] 2018 the annual meeting of IJMLC Editorial Board, ACMLC 2018, will be held in Ho Chi Minh, Vietnam, December 7-9, 2018   [Click]
Search
General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2018 Vol.8(2): 144-151 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.2.678

An Automated Probe Handling and Image Inspection System for the Recognition of Biological Hazardous Material in the Air

Petra Perner
Abstract—Human beings are exposed every day to bio-aerosols in their personal and professional life. The European Commission has issued regulations for protecting employees in the workplace from biological hazards. Airborne fungi can be detected and identified by an image-acquisition and interpretation system. In this paper, we present recent results on the development of an automated image acquisition, sample handling and image-interpretation system for airborne fungi identification. We explained the application domain and described the development issues. The development strategy and the architecture of the system are described, and results are presented.

Index Terms—Health monitoring, Microscopic image acquisition, microbiological sample handling, image analysis, image interpretation, case-based object recognition, case-based reasoning.

Petra Perner is with the Institute of Computer Vision and applied Computer Sciences, PF 30 11 14, 04251 Leipzig, Germany (e-mail: pperner@ibai-institut.de).

[PDF]

Cite: Petra Perner, "An Automated Probe Handling and Image Inspection System for the Recognition of Biological Hazardous Material in the Air," International Journal of Machine Learning and Computing vol. 8, no. 2, pp. 144-151, 2018.

Copyright © 2008-2018. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net