Keywords: image analysis, finding lines in an image, calculating angles, diamond plate, surface polishing
Algorithm for determining the angle between the directions of surface grinding
UDC 004.932
DOI: 10.26102/2310-6018/2023.42.3.020
The paper discusses the development of an algorithm for analyzing profilogram images obtained using the ZYGO ZeGage Pro HR optical profilometer in order to determine some parameters of material surface treatment: grinding directions and the angle between them. The analysis of such data makes it possible to make a connection between the applied material processing technology and the quality of the resulting surface. The need to automate this process is a relevant objective. Solving it will reduce the time taken to analyze a large volume of test samples and accelerate their quality control. This paper presents the process of the developed algorithm operation based on the application of methods for detecting geometric objects in images. The algorithm consists of several stages, including pre-processing of input data, methods for detecting straight lines in the image, extracting surface grinding directions, and determining the angle between them. In addition, as part of the study, a modification of the algorithm based on image frequency analysis was proposed. This modification allows eliminating the shortcomings of the main implementation described in the paper determined by the specifics of the input data; it also enables the increase in the efficiency of the program. Also, conclusions are given on the results of accuracy tests for the developed algorithm and its modification obtained using different samples of the surfaces under study.
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Keywords: image analysis, finding lines in an image, calculating angles, diamond plate, surface polishing
For citation: Shmidt A.G., Altukhov A.A., Feshchenko V.S., Shepelev V.A. Algorithm for determining the angle between the directions of surface grinding. Modeling, Optimization and Information Technology. 2023;11(3). URL: https://moitvivt.ru/ru/journal/pdf?id=1416 DOI: 10.26102/2310-6018/2023.42.3.020 (In Russ).
Received 10.07.2023
Revised 05.09.2023
Accepted 14.09.2023
Published 30.09.2023