Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Application Research on the analysis of Biological detection image segmentation using PDE

Authors
Baozhen Wang, Min Chen
Corresponding Author
Baozhen Wang
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.185How to use a DOI?
Keywords
Partial differential equation; biological detection; image segmentation; application model
Abstract
Partial differential equation(PDE) plays an important role in the field of image segmentation in biological detection. According to the analysis of some problems existing in the process of current biological detection image segmentation, this research set up a kind of image analysis and processing of biological detection algorithm based on PDE.Through the analysis of PDE in image processing and application situation of development methods, this study constructed a biological detection image segmentation application model based on PDE. The results show that the PDE is a mathematical operation as the foundation, and with an open framework for development mode. PDE is a biological detection very effective image segmentation analysis tool that can solve the image topology in biology of high complexity and noise problems.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.185How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Baozhen Wang
AU  - Min Chen
PY  - 2015/04
DA  - 2015/04
TI  - Application Research on the analysis of Biological detection image segmentation using PDE
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.185
DO  - https://doi.org/10.2991/amcce-15.2015.185
ID  - Wang2015/04
ER  -