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31 December 2008 Image processing and classification of metal materials based on mathematical morphology
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Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 713045 (2008) https://doi.org/10.1117/12.819709
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guirong Weng and Ping Ye "Image processing and classification of metal materials based on mathematical morphology", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713045 (31 December 2008); https://doi.org/10.1117/12.819709
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