Object's Centroid Localization Using Hu-Flusser's Moments Invariant

Autor:	Danaipong Chetchotsak, Supattra Plermkamon, Sujin Wanchat
Rok vydání:	2014
Předmět:	Accuracy and precision Machine vision business.industry Template matching Centroid General Medicine Velocity Moments Outlier Computer vision Artificial intelligence Invariant (mathematics) business Centroid localization Mathematics
Zdroj:	Applied Mechanics and Materials. 526:316-323
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.526.316
Popis:	A combination between two components generally requires screws for assemble them together with high precision and accuracy that is need in industrial application. This research proposes the machine vision technique using Hu-Flussers moments invariant to locate centroids of target screws from a tray for loading instead of the current human vision in manual operation. To validate precision and accuracy template matching is tested in parallel with Hu-Flussers moments invariant. The results show that Hu-Flussers moments invariant is better in terms of precision and have robust ability to exclude outlier too.
Databáze:	OpenAIRE
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