2002 · 87 citations · 9 references
ComputingComputer ScienceComputer VisionFeature EngineeringMachine VisionFeature DetectionFeature ExtractionImage ClassificationImage ProcessingObject RecognitionPattern RecognitionCheckout OperationsCheckout Process DesignImage-based Product ClassificationTraining System Architecture
The authors present an automatic product 1D system ("VeggieVision"), intended to ease the produce checkout process. The system consists of an integrated scale and imaging system with a user-friendly interface. When a produce item is placed on the scale, an image is taken. A variety of features, color, texture (shape, density), are then extracted. These features are compared to stored "signatures" which were obtained by prior system training (either on-line or off-line). Depending on the certainty of the classification, the final decision is made either by the system or by a human from a number of choices selected by the system. Over 95% of the time, the correct produce classification is in the top four choices.
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Algorithms for Clustering Data
Warren S. Sarle, Anil K. Jain, Richard C. Dubes · Technometrics · 1990 · 7.8K citations
Algorithms for clustering data
Bernhard Flury · Journal of Statistical Planning and Inference · 1989 · 6.5K citations
Statistical and structural approaches to texture
R.M. Haralick · Proceedings of the IEEE · 1979 · 5.7K citations
Michael J. Swain, Dana H. Ballard · International Journal of Computer Vision · 1991 · 5.6K citations