Optimization of multiple-source illumination for machine vision inspection via visual simulation

Autor:	Andrew D. Silber, Richard M. Wasserman
Rok vydání:	2002
Předmět:	Engineering business.industry Machine vision End user media_common.quotation_subject Multiple source Set (abstract data type) Position (vector) Quality (business) Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence business Video based media_common
Zdroj:	SPIE Proceedings.
ISSN:	0277-786X
DOI:	10.1117/12.455996
Popis:	Well-adjusted lighting is one of the most important contributors to good quality and robust measurements in video based inspection systems. The optimal selection of lighting varies from part to part, and system to system. System designers must often select from a significant number of competing illumination sources at varied positions in order to determine how best to illuminate a target edge. In cases where an end user must perform the lighting setup this complexity often results in either a poor measurement or a determination that the inspection cannot be performed. This paper describes a general, simulation based methodology to adjust automatically a set of physical illumination sources (both in magnitude and position) so as to achieve a high quality edge measurement. Specific metrics of edge quality and an approach to search the resulting solution space are also presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::53e6ad90343f04ea095d29088453fdfc https://doi.org/10.1117/12.455996 Zobrazit plný text záznamu