Open AccessAnalysis of Surface Quality Measurement With Classification Approach
Author(s) -
Laith R. Flaih,
Shaimaa Awadh Baha al Deen,
Mohamed Uvaze Ahamed Ayoobkhan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1712/1/012027
Subject(s) - normalization (sociology) , computer science , compensation (psychology) , homogeneous , identification (biology) , artificial intelligence , process (computing) , quality (philosophy) , pattern recognition (psychology) , machine learning , data mining , mathematics , psychology , philosophy , botany , epistemology , combinatorics , sociology , anthropology , psychoanalysis , biology , operating system
This investigation provides a methodology for surface quality measurement. In machine based vision, an optical inspection is validated to identify defects over materials. As well, normalization approach is used to process homogeneous thickness. With compensation procedures flaws are identified and analyzed. However, after defect identification, decision rules are defected for appropriate classification which offers optimal performance and diminishes tuning complexity. The anticipated approach is effectual and fulfils inspection requirements. Experimental outcomes may validate performance of anticipated approach to recognition rate and inspection speed.