Enhancing the accuracy of forging measurement using silhouettes in images. (15th May 2022)

• Record Type: Journal Article
• Authors: Hurník, Jakub; Zatočilová, Aneta; Koutný, Daniel; Paloušek, David
• Is Part Of: Measurement. Volume 194(2022)
• Publication Date: 2022-05-15
• Subjects: Forging -- Measurement -- Edge detection -- Silhouettes -- Axis straightness -- Image analysis; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2022.111059
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Camera silhouette measurement system is suitable for inspecting heavy forgings. System accuracy is not critically influenced by the industrial environment. The subpixel edge detection method helps achieve a better accuracy. Weighted contour filtering using edge quality measures supresses edge disturbances. Abstract: In this study, a new passive camera system for heavy cylindrical forging measurement, based on silhouettes in images, is developed. New methods for making such a system more resistant to the negative effects of the industrial environment have been proposed. This includes weighted edge filtering based on complementary information about the edge quality in an image. The recorded measurement median errors were ±0.12 mm and ±0.14 mm. Moreover, the 95% confidence intervals were ±0.5 mm and ±1 mm for the forging axis and diameter measurements, respectively. Both results were achieved in a measurement volume of 6 × 6 × 2 m during the measurement of glowing hot forgings in industrial conditions. The results surpass those of the state-of-the-art method, mainly in the case of axis straightness measurement, by approximately 50%. The measurement is fast, and it provides feedback about the axis straightness for its subsequent correction.