Edge detection of steel plates at high temperature using image measurement

doi:10.1007/s11465-009-0013-1

Front Mech Eng Chin

2009, Vol. 4

Issue (1) : 77-82 https://doi.org/10.1007/s11465-009-0013-1

RESEARCH ARTICLE

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An(

)

School of Mechanical and Power Engineering of East China University of Science and Technology, Shanghai 200237, China

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Abstract

An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paper, where the shrinkage of a steel plate is measured when temperature drops. First, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration parameters. The experiment shows that the real-time, high precision, and non-contact measurement of the steel plate’s edge position under high temperature can be realized using the imaging measurement method established in this paper.

Keywords thermal expansion image measurement edge detection image calibration

Corresponding Author(s): An Qi,Email:anqi@ecust.edu.cn

Issue Date: 05 March 2009

Cite this article:

Qiong Zhou,Qi An. Edge detection of steel plates at high temperature using image measurement[J]. Front Mech Eng Chin, 2009, 4(1): 77-82.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-009-0013-1
https://academic.hep.com.cn/fme/EN/Y2009/V4/I1/77

Fig.1 Model of pin hole imaging

Fig.2 steel plate’s image under various temperature.
(a) 900°C; (b) 800°C; (c) 700°C

Fig.3 Principle of edge detection
Note that ‘edge with’, which can be seen as a generous characteristic of grayscales’ gradual changing whose unit is in pixels, must be presented. Because the sudden changing of grayscales is a gradual process, the more smooth the edge, the more mild the change. The edge point’s position is in the middle of the ‘edge width’.

Fig.4 Schema of search region, search spacing, and search direction

Fig.5 Contrast of effect of regional edge detection and traditional edge detection.
(a1) Regional edge detection at 900°C; (a2) traditional edge detection at 900°C; (b1) regional edge detection at 700°C; (b2) traditional edge detection at 700°C

Fig.6 Schema of arithmetic test.
(a) Position 1; (b) position 2; (c) position 3

Tab.1 Results of arithmetic test and error analysis

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