Measuring Hardness System Based on Image Processing
In this work, we developed a system to determine the hardness of a metallic material. The method provides the Brinell hardness value through image analysis, a microscope, and mechatronic elements. The system consists of a microscope with an attached camera where the amplification factor is fixed. The system modifies the height of the microscope to focus the tested object through the movement of a stepper motor, the motor is stopped when the edge detection of the image is maximum. The Arduino platform controls the stepper motor, and Matlab was employed to develop the image processing algorithm, these two stages are synchronized by the USB communication. Once the microscope is correctly focused, an image of the indentation is captured by the camera and analyzed using the Hough transform for circle detection. Finally, the hardness value is obtained using the diameter detected, finding a standard deviation error of 1.44 micrometers in the impression measurement and a considerable time reduction in the measurement process.
Authors
- Jesús Puente
- José Manuel Rivera Garnica
- César Augusto García Isáis
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/cce62852.2024.10771036
- Citations
- 1
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- Instituto Politécnico Nacional