Automatic sensor and light source positioning for machine vision

作者: S. Yi , R.M. Haralick , L.G. Shapiro

DOI: 10.1109/ICPR.1990.118064

关键词:

摘要: The authors discuss an optimization approach to automatic sensor and light source positioning for a machine vision task where geometric measurement and/or object verification is important. goal of the assumed be specified in terms edge visibility. There are two types visibility: visibility tells how much given not occluded, photometric has enough contrast detected image. A heuristic optimality criterion optimal position defined these visibilities. preliminary experiment been conducted demonstrate feasibility approach. result shows that problem formulated can solved by mathematical programming techniques. >

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