A Gray Level Image Detection and Segmentation Algorithm Based on Average Intensity Project and Shift Gaussian Model

DOI

10.2991/icmmcce-15.2015.367How to use a DOI?

Keywords

average intensity; shift Gaussian model; image segmentation

Abstract

A gray level image segmentation algorithm is proposed based on Average Intensity Project (AIP) and shift Gaussian model for gray level images with connection between thread and area with similar gray level. The evaluation is performed on 30 gray level images, and the results show area overlap measure of 91% between the extracted characteristic parameter and the manual segmentation.

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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TY  - CONF
AU  - Fuchun Zhang
AU  - Yanzhong Hao
PY  - 2015/12
DA  - 2015/12
TI  - A Gray Level Image Detection and Segmentation Algorithm Based on Average Intensity Project and Shift Gaussian Model
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.367
DO  - 10.2991/icmmcce-15.2015.367
ID  - Zhang2015/12
ER  -