Identification of Biomedical Blood Cell Irregularity Distribution Based on Cumulative Matching Distance

DOI

10.2991/itms-15.2015.252How to use a DOI?

Keywords

Computer aided diagnosis; biomedical image; irregularity; cumulative matching distance

Abstract

Computer aided diagnosis method have been more and more widely used in biomedical area. A novel particle matching scheme is presented to quantitatively analyze the irregular level of biomedical particle images in relationship with the predetermined standard image. The specific cumulative matching distance is defined to evaluate the irregular effect, which shows great ability to classify different irregular images such as non-uniform distributed, marginally distributed, and seriously irregular distributed particle images. Both methods have been embedded in a machine vision software, which can act as an assistance for disease diagnosis.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - J. Liu
AU  - J. Han
AU  - H. Lv
PY  - 2015/11
DA  - 2015/11
TI  - Identification of Biomedical Blood Cell Irregularity Distribution Based on Cumulative Matching Distance
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 1043
EP  - 1046
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.252
DO  - 10.2991/itms-15.2015.252
ID  - Liu2015/11
ER  -