VeggieVision: a produce recognition system

R. Bolle, J. Connell, N. Haas, R. Mohan, G. Taubin
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引用次数: 101

Abstract

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.
VeggieVision:一个农产品识别系统
作者提出了一种自动产品1D系统(“VeggieVision”),旨在简化产品检验过程。该系统包括一个集成的规模和成像系统与用户友好的界面。当一个产品被放在秤上时,就会被拍照。然后提取各种特征,颜色,纹理(形状,密度)。将这些特征与存储的“签名”进行比较,这些“签名”是通过先前的系统训练(在线或离线)获得的。根据分类的确定性,最终决策要么由系统做出,要么由人从系统选择的许多选项中做出。超过95%的时间,正确的农产品分类在前四个选择中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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