Proceedings of the 2015 International Conference on Social Science and Technology Education

Research on image preprocessing and segmentation of medical image

Authors
Li Huafeng, Zhang Yuan
Corresponding Author
Li Huafeng
Available Online April 2015.
DOI
https://doi.org/10.2991/icsste-15.2015.7How to use a DOI?
Keywords
Medical image; Image segmentation; Adaptive window methods; Support vector machines
Abstract

this paper presents a medical image preprocessing based on an adaptive window and the segmentation algorithm of medical image based on support vector machine, using the segmentation algorithm may be the same target which is divided into a plurality of adjacent segments. According to the pattern recognition theory, if a group of training samples can be separated by an optimal hyperplane, upper boundary of the test sample classification error rate expectations are in the training sample support vector average of the total number of training samples proportion, that reduce the influence of subjective factors, which makes segmentation result that has uniqueness.

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 Social Science and Technology Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2015
ISBN
978-94-62520-60-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/icsste-15.2015.7How 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  - Li Huafeng
AU  - Zhang Yuan
PY  - 2015/04
DA  - 2015/04
TI  - Research on image preprocessing and segmentation of medical image
BT  - Proceedings of the 2015 International Conference on Social Science and Technology Education
PB  - Atlantis Press
SP  - 20
EP  - 22
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsste-15.2015.7
DO  - https://doi.org/10.2991/icsste-15.2015.7
ID  - Huafeng2015/04
ER  -