IEEE Transactions on Pattern Analysis and Machine Intelligence · 1994 · 1.2K citations · 10 references
ComputingComputer ScienceBiomedical OpticsComputer VisionMachine VisionDepth EstimationIndustrial InspectionShape AnalysisAutomated Optical InspectionAutomatic Visual InspectionFocusFocus QualityIndustrial Vision SystemsVision-based InspectionVisual Inspection Systems
The shape from focus method presented here uses different focus levels to obtain a sequence of object images. The sum-modified-Laplacian (SML) operator is developed to provide local measures of the quality of image focus. The operator is applied to the image sequence to determine a set of focus measures at each image point. A depth estimation algorithm interpolates a small number of focus measure values to obtain accurate depth estimates. A fully automated shape from focus system has been implemented using an optical microscope and tested on a variety of industrial samples. Experimental results are presented that demonstrate the accuracy and robustness of the proposed method. These results suggest shape from focus to be an effective approach for a variety of challenging visual inspection tasks.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Eric Krotkov · International Journal of Computer Vision · 1988 · 467 citations
Accommodation in computer vision
Jay Martin Tenenbaum · 1971 · 223 citations
P. Grossmann · Pattern Recognition Letters · 1987 · 221 citations