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Proceedings Paper

Image processing method and implementation for a laser automatic tracking extensometer
Author(s): Qiuhong Tian; Xiao Du; Yanna Liu; Liping Yan; Benyong Chen
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Paper Abstract

A laser automatic tracking extensometer for material deformation measurement based on CCD is proposed. The image processing methods of the laser mark localization and the automatic tracking of the mark line on the specimen are studied for the extensometer. First, geometrical mean filter (GMF), harmonic mean filter (HMF) and inverse harmonic mean filter (IHMF) using for the image processing are compared in order to select a suitable mean filter for removing noises from the specimen images, and then the GMF is adopted for the de-noising of the images. Second, Sobel operator is introduced to detect the edges of the specimen images. At last, the specimen images are reduced to eliminate unwanted background information by pruning. Hough transformation of pretreated specimen images is also studied and linking images algorithm is proposed based on the image gray distribution and the connectivity principle. The laser mark localization and the automatic tracking of the mark line on the specimen are then implemented. The experimental results show that the linking image algorithm is prior to Hough transformation on both recognition effect and recognition efficiency.

Paper Details

Date Published: 15 November 2011
PDF: 8 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350T (15 November 2011); doi: 10.1117/12.917607
Show Author Affiliations
Qiuhong Tian, Zhejiang Univ. of Science and Technology (China)
Xiao Du, Zhejiang Univ. of Science and Technology (China)
Yanna Liu, Zhejiang Univ. of Science and Technology (China)
Liping Yan, Zhejiang Univ. of Science and Technology (China)
Benyong Chen, Zhejiang Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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