Dual fitting for sub-pixel edge detection of high temperature image

Yu Lu; Rong-Sheng Lu; Guang-Ping Guo

doi:10.1117/12.2211332

26 January 2016 Dual fitting for sub-pixel edge detection of high temperature image

Yu Lu, Rong-Sheng Lu, Guang-Ping Guo

Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 990305 (2016) https://doi.org/10.1117/12.2211332
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China

Abstract

This paper describes a method of non-contact distance measurement in high temperature environments by video extensometer. In order to detect the distance of a pair of marked lines on the surface of the specimen, dual fitting algorithms are proposed. The first fitting method which is least squares curve fitting utilizes hyperbolic tangent function to fit a serial of discrete gray level points to a curve. So a set of edge points on the marked line was located. The second is to use orthogonal linear least squares method to fit two sets of edge points to two lines respectively. After the two lines are located, the distance of two lines can be computed. A video extensometer system which enables a high temperature distance measurement up to 1200°C is presented and demonstrated by experimental measurements.

Citation Download Citation

Yu Lu, Rong-Sheng Lu, and Guang-Ping Guo "Dual fitting for sub-pixel edge detection of high temperature image", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990305 (26 January 2016); https://doi.org/10.1117/12.2211332

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