Metallographic Analysis of the Percentage of Carbon in the Test Tube Based on Artificial Vision

Autor: Luigi O. Freire, Luis M. Navarrete, Jefferson A. Porras, Byron P. Corrales
Rok vydání: 2021
Předmět:
Zdroj: Intelligent Manufacturing and Energy Sustainability ISBN: 9789813344426
DOI: 10.1007/978-981-33-4443-3_1
Popis: This research was born with the purpose of accrediting metallographic analysis tests aimed at microstructure composition techniques and morphological analysis of metallic materials, which is mainly used in the national vehicle bodywork industry. It is based on the use of artificial vision tools. It is necessary to have the requirements of the NTE INEN ISO / IEC 17025: Standard 2006 that stipulates the General Requirements for the competence of testing and calibration laboratories. An intercomparison test of results is implemented to validate the traceability of measurements and to allow technical analysts to demonstrate knowledge of how results are obtained through commercial metallographic analysis software. The comparison of an acquisition, post-processing and results generation protocol of a commercial image processing tool, with another one developed in-house using free software is known as OpenCV.
Databáze: OpenAIRE