Study on Multithreshold Segmentation Method for Color Image

DOI

10.2991/fmsmt-17.2017.291How to use a DOI?

Keywords

Color image; Multithreshold; Segmentation method;

Abstract

With the development of science and technology, the application of color image is becoming increasingly wide. The traditional image processing techniques has been widely recognized by scholars from all over the world. The traditional color image segmentation technology runs a simple classified processing in pixels and splits with a single scale. After image segmentation, the overall performance is not good, and the vision is blurred. For this reason, this paper proposed a multithreshold segmentation method for color image, which sets the doublet segmentation parameters by threshold histogram and improves the automatic choice of threshold value and image fusion. The simulation results show that this method is more flexible in the process of color image segmentation. The accuracy of the image is higher. The fuzzy effect after original image segmentation has been changed. It has great application value.

Copyright

© 2017, 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  - Wen-kui Zheng
AU  - Kun Liu
PY  - 2017/04
DA  - 2017/04
TI  - Study on Multithreshold Segmentation Method for Color Image
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1500
EP  - 1504
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.291
DO  - 10.2991/fmsmt-17.2017.291
ID  - Zheng2017/04
ER  -