Determination of tool cutting surface quality from analysis on a group of images and the combined data

Evgenii Semenishchev; Viacheslav Voronin; Aleksandr Zelensky; Andrey Alepko; Marina Zhdanova; Sos Agaian

doi:10.1117/12.2587804

12 April 2021 Determination of tool cutting surface quality from analysis on a group of images and the combined data

Evgenii Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, Andrey Alepko, Marina Zhdanova, Sos Agaian

Proceedings Volume 11734, Multimodal Image Exploitation and Learning 2021; 117340A (2021) https://doi.org/10.1117/12.2587804
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

The article presents a description of a system that allows you to analyze the surface of a tool used for processing metal products. The information parameters are data on the current position of the object and the angles of its rotation, as well as a set of images obtained in the visible and/or infrared range. The captured images are subject to interference caused by: small distances between the camera and the investigated instrument; sensor noise; blurring the boundaries (defocusing) of objects at the edges of images; uneven lighting; the complexity of the shape of the analyzed instrument. The introduction of the possibility of analyzing a series of images obtained in different ranges will improve the accuracy of the formation of the structure of the means (instrument). The article describes methods and algorithms for improving the quality of a series of images. A description of the choice of their parameters is given, and an analysis of their influence on the result is presented. Methods have been developed for analyzing objects and identifying their boundaries by analyzing a series of images obtained in different ranges (IR and visible). The use of combined ranges makes it possible to increase the accuracy of determining the boundary in conditions of interference and low illumination and also allows the analysis of objects of complex shapes (the presence of holes, internal structures, chips). A series of test images, fixing the edge of the cutter, the shape of the drill, and cutting inserts, show the effectiveness of the developed approach and the possibility of automating the analysis process.

Citation Download Citation

Evgenii Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, Andrey Alepko, Marina Zhdanova, and Sos Agaian "Determination of tool cutting surface quality from analysis on a group of images and the combined data", Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 117340A (12 April 2021); https://doi.org/10.1117/12.2587804

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KEYWORDS

Shape analysis

Infrared imaging

Light sources and illumination

Visible radiation

Infrared radiation

Materials analysis

Materials processing

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