Medical Image Processing Based on Mathematical Morphology

DOI

10.2991/iccasm.2012.241How to use a DOI?

Keywords

Medical image, Feature extraction, Edge detection,Image processing

Abstract

In the thesis, the author proposes an approach of image processing based on the features of medical image. First, using the space domain to enhance the image and improve clarity. And then process it by using mathematical morphology. Mathematical morphology is a method of nonlinear filters, which could be used for image processing including noise suppression, feature extraction, edge detection, image segmentation, shape recognition, texture analysis, image restoration and reconstruction, image compression etc. the method has been more and more widely used.

Copyright

© 2012, 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  - Fang Zhao
AU  - Junpeng Zhang
AU  - Yulei Ma
PY  - 2012/08
DA  - 2012/08
TI  - Medical Image Processing Based on Mathematical Morphology
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 948
EP  - 950
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.241
DO  - 10.2991/iccasm.2012.241
ID  - Zhao2012/08
ER  -