A Fast Image Segmentation Strategy for Measurement Point of Machinery Blade

DOI

10.2991/icmeit-17.2017.40How to use a DOI?

Keywords

Image segmentation, Machinery blade, Edge detection, Fast segmentation.

Abstract

To solve the problem of long time spent on measurement point segmentation and low measurement efficiency in the process of machinery blade measurement, a new fast segmentation algorithm based on edge detection is researched in this paper. Before the segmentation of measurement points, the edge of blade image is detected by a suitable edge detection operator which is defined by analyzing image characteristics, and then the processing blade image is the basement for calculating the threshold value. Numerical experiments show that, the strategy researched in this paper can maintain specific information of blade edge image as well as reduce amount of segmentation information, and the segmentation efficiency of machinery blade image is improved.

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/).

Download article (PDF)

TY  - CONF
AU  - Jiande Zhang
AU  - Wei Huang
AU  - Lizhong Tu
AU  - Qing Yang
PY  - 2017/05
DA  - 2017/05
TI  - A Fast Image Segmentation Strategy for Measurement Point of Machinery Blade
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 220
EP  - 223
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.40
DO  - 10.2991/icmeit-17.2017.40
ID  - Zhang2017/05
ER  -