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1 Journal of Achievements in Materials and Manufacturing Engineering

1 2010

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Application of computer vision methods to estimate the coverage of peen formed plates

Vieira L. C., Almeida de R. H. Z., Martins F. P. R., Fleury A.T.

Journal of Achievements in Materials and Manufacturing Engineering

2010

Vol. 43, nr 2

743--749

Purpose: this paper aims to present a simple method that allows for a systematic estimation of coverage of peen aluminum workpiece submitted to a peen form process. Design/methodology/approach: This approach is based on the application of computer vision techniques for segmenting amplified images of the shot peening processed surface. The work has employed two combined methods of image segmentation – inductive algorithm generated rule segmentation and a multiagent segmentation system. Findings: The two combined methods of image segmentation has allowed for an estimation of low coverage plates as well as done by human expert. Furthermore a model of the spatial shot distribution was also achieved. Research limitations/implications: The surrogated method is suitable for plates with relative low coverages, circa 50 %. Originality/value: The model can be regarded as useful by acelerating the coverage evaluation in comparison with conventional industrial approach.