Presentation + Paper
14 November 2021 Image processing of advance milling cutters to automate the measurement of the geometric parameters of the cutting edge on optical measuring systems
Author Affiliations +
Abstract
This article proposes a method for finding the focal length for determining the coordinates of the cutting edge on the toroidal section of the end producing surface, formed on the basis of the functional relationships between the parameters of the focal length and the cutting tool design parameters. Recognition of focal zones is carried out using an algorithm for analyzing the minimum transitions of color intensity in the focal zone based on a statistical analysis of differences in the levels of shades of gray in the image, which makes it possible to determine not only the focal point, but also the focusing range when measuring the edge with the original curvature determined by the radius of the cutter and the radius of the arc of the toroidal section. Experimental results, obtained on a measuring machine with a CCD matrix camera of reflected light with 400x magnification and 8: 1 telecentric optics, show that, in comparison with the existing algorithms, the new method allows increasing the recognition accuracy of the focal zone up to quality over a wide focal range. The proposed method allows for the rational search for the focal length when measuring the cutting edge that greatly reduces the number of calculations.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Petr M. Pivkin, Ilya V. Minin, Marina A. Volosova, Vitaliy B. Romanov, and Alexsey B. Nadykto "Image processing of advance milling cutters to automate the measurement of the geometric parameters of the cutting edge on optical measuring systems", Proc. SPIE 11914, SPIE Future Sensing Technologies 2021, 1191412 (14 November 2021); https://doi.org/10.1117/12.2605754
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KEYWORDS
Image processing

Cameras

Algorithm development

Detection and tracking algorithms

Statistical analysis

Error analysis

Geometrical optics

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