Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

A Fast Image Segmentation Strategy for Measurement Point of Machinery Blade

Authors
Jiande Zhang, Wei Huang, Lizhong Tu, Qing Yang
Corresponding Author
Jiande Zhang
Available Online May 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - https://doi.org/10.2991/icmeit-17.2017.40
ID  - Zhang2017/05
ER  -