Evaluation of shot peening machined surface by image processing

T. Shimizu; Y. Haramiishi; Y. A. Rahim; Syamir Alihan; Y. Kobayashi; A. Matsui; S. Kotani; H. Watanabe

doi:10.1117/12.2585193

16 July 2021 Evaluation of shot peening machined surface by image processing

T. Shimizu, Y. Haramiishi, Y. A. Rahim, Syamir Alihan, Y. Kobayashi, A. Matsui, S. Kotani, H. Watanabe

Proceedings Volume 11794, Fifteenth International Conference on Quality Control by Artificial Vision; 117941B (2021) https://doi.org/10.1117/12.2585193
Event: Fifteenth International Conference on Quality Control by Artificial Vision, 2021, Tokushima, Japan

Abstract

This paper describes an evaluation method of shot peened surface using image processing. Shot peening is a process that applies compressive residual stress to the product surface, and its evaluation is performed visually by an expert. If visual inspection can be replaced with image processing, the inspection of the entire product will be easier. Therefore, first reference samples that experts evaluate are prepared, next these samples are evaluated by image processing. relationship between expert evaluations and image processing evaluations are compared and the estimation function is defined using gausian distribution. Unknown processed surfaces are evaluated as a classification problem. For image processing, after binarization and labeling, the number of labels and the area ratio of binarization are used.

Citation Download Citation

T. Shimizu, Y. Haramiishi, Y. A. Rahim, Syamir Alihan, Y. Kobayashi, A. Matsui, S. Kotani, and H. Watanabe "Evaluation of shot peening machined surface by image processing", Proc. SPIE 11794, Fifteenth International Conference on Quality Control by Artificial Vision, 117941B (16 July 2021); https://doi.org/10.1117/12.2585193

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