An improved OTSU method based on Genetic Algorithm

DOI

10.2991/icmmita-16.2016.304How to use a DOI?

Keywords

Image thresholding; Otsu method; Genetic Algorithm.

Abstract

Image segmentation is required to be studied in detail some particular features (areas of interest) of a digital image. It forms an important and exigent part of image processing and requires an exhaustive and robust search technique for its implementation. In the present work we have studied working of image thresholding based on genetic algorithm. The proposed variant in this paper is tested on a set of images and the results are compared with original Otsu method.

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  - Wei Shang
AU  - Yan-fen Cheng
PY  - 2017/01
DA  - 2017/01
TI  - An improved OTSU method based on Genetic Algorithm
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1349
EP  - 1354
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.304
DO  - 10.2991/icmmita-16.2016.304
ID  - Shang2017/01
ER  -