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Proceedings Paper

Image processing and classification of metal materials based on mathematical morphology
Author(s): Guirong Weng; Ping Ye
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Paper Abstract

The analysis of metal fracture surface could ascertain the condition and give some valuable clue to the research of the component's failure by observing and analyzing the fracture surface. A method of the image processing of the metal fracture surface for eliminating the noise, detecting the edges of the image and classification of the material by obtaining the images' character based on the mathematical morphology will be described. The methods of the character description have unchangeable characteristic for rotating, zooming or moving the images. Then the images can be classified by using artificial neural network. 72 images of stainless steel, brass and red copper processed through corrosion fatigue fracture and equalized dimple fracture are used as a study samples and 54 images are used as a test samples. The data of the experiment explains the feasibility of the method and analyzes the cause of the error.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713045 (31 December 2008); doi: 10.1117/12.819709
Show Author Affiliations
Guirong Weng, Soochow Univ. (China)
Ping Ye, Soochow Univ. (China)


Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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