Proceedings of the 2015 International Conference on Management, Education, Information and Control

Human Parasite Eggs Image Characteristics Extraction and Recognition Technology Research

Authors
Chunjuan Fang
Corresponding Author
Chunjuan Fang
Available Online June 2015.
DOI
10.2991/meici-15.2015.297How to use a DOI?
Keywords
Digital image processing; Parasitology; Mode recognition; Texture features
Abstract

In terms of theory, any issues related to morphological analysis and test can be settled by digital image process technology, but due to the irregular morphological structures of the parasite eggs in human body, spatial positions and too many impurities of the samples, there remains little research on the digital image technology in the field of parasitology and the parasite eggs cannot be recognized by automatic instrument as it does to blood cell, therefore, for the long term, it can be only observed and distinguished by naked eyes under the microscope. Because of the lack of objective, stable and accurate quality in artificial recognition, recognition ability tends to be subject to the experience and status of the testers; what’s more, the images, data and results of the test samples are not convenient for storage, reproduction and query, which have left artificial recognition unable to meet the demands of modern hospital informatization. On such basis, the contents of digital image process and model recognition technology, and the images of 10 common parasite eggs in human body have been researched in the thesis. By use of VISua1C++6.0 system development tool and digital process technology, 24 true color parasite eggs collected by microscopic camera have been pretreated to extract the information on their morphology, color and texture.

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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Volume Title
Proceedings of the 2015 International Conference on Management, Education, Information and Control
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-85-1
ISSN
1951-6851
DOI
10.2991/meici-15.2015.297How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Chunjuan Fang
PY  - 2015/06
DA  - 2015/06
TI  - Human Parasite Eggs Image Characteristics Extraction and Recognition Technology Research
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 1703
EP  - 1709
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.297
DO  - 10.2991/meici-15.2015.297
ID  - Fang2015/06
ER  -