Shape Classification of Red Blood Cell Image Based on Tetrolet Transform

DOI

10.2991/amms-17.2017.18How to use a DOI?

Keywords

shape classification; deformation; red blood cell; tetrolet transform

Abstract

The shape of red blood cell is a primary factor for its deformability and filterability. Generally the regular shape of red blood cells should look like a biconcave disk. Meanwhile the deformability degradation of erythrocyte could lead to some blood-related diseases. Thus the shape analysis of red blood cells will make sense in real application. In this paper, the different shape illustration of red blood cells was briefly introduced at first. And then some preliminary about Tetrominoes was reviewed. In the end we proposed a methodology framework which intends to extract the shape feature with Tetrolet transform.

Copyright

© 2017, 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  - Ruihu Wang
PY  - 2017/11
DA  - 2017/11
TI  - Shape Classification of Red Blood Cell Image Based on Tetrolet Transform
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 83
EP  - 86
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.18
DO  - 10.2991/amms-17.2017.18
ID  - Wang2017/11
ER  -