Proceedings of the 2016 International Conference on Engineering and Technology Innovations

Application of Image Processing Technology Refined in The Medical Imaging

Authors
Bing Fan
Corresponding Author
Bing Fan
Available Online March 2016.
DOI
10.2991/iceti-16.2016.53How to use a DOI?
Keywords
image thinning, algorithm, Medical Imaging, edge analysis.
Abstract

Medical Imaging contains extremely rich information about the internal body of a patient in clinical diagnosis, new technology research and medical treatment, medical education and training as well as for the treatment of patients having an increasingly important role. Based on the medical imaging target edge image analysis, we presented an effective binary image thinning algorithm. The algorithm edge technology will feature the image information can be clearly and completely detected, and get a complete clear edge features refined image by thinning algorithm can greatly facilitate research studies next stage image. Experimental results show: With the refinement algorithm obtained image skeleton symmetry not only good, but also as a single pixel wide, and can maintain the original image intact connectivity.

Copyright
© 2016, 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 2016 International Conference on Engineering and Technology Innovations
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/iceti-16.2016.53
ISSN
2352-5401
DOI
10.2991/iceti-16.2016.53How to use a DOI?
Copyright
© 2016, 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  - Bing Fan
PY  - 2016/03
DA  - 2016/03
TI  - Application of Image Processing Technology Refined in The Medical Imaging
BT  - Proceedings of the 2016 International Conference on Engineering and Technology Innovations
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceti-16.2016.53
DO  - 10.2991/iceti-16.2016.53
ID  - Fan2016/03
ER  -