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公开(公告)号：US20160189007A1
公开(公告)日：2016-06-30
申请号：US14583473
申请日：2014-12-26
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Carson Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
CPC分类号： G06K9/6267 , A01D41/1277 , G06K9/0014 , G06K9/036 , G06K9/342 , G06K9/52 , G06K2209/17 , G06T7/0004 , G06T7/12 , G06T2207/20081 , G06T2207/30108
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
摘要翻译： 一种方法和非暂时的计算机可读介质捕获大块颗粒的图像并将特征提取器应用于图像以确定图像中的大块颗粒的特征。 对于图像中的多个不同采样位置中的每一个，基于采样位置处的散粒的特征，确定在采样位置处材料分类的存在的分类分数。 基于在采样位置处材料分类的存在的分类分数的聚合来确定图像的散粒的质量。
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公开(公告)号：US09779330B2
公开(公告)日：2017-10-03
申请号：US14583473
申请日：2014-12-26
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Cason Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
CPC分类号： G06K9/6267 , A01D41/1277 , G06K9/0014 , G06K9/036 , G06K9/342 , G06K9/52 , G06K2209/17 , G06T7/0004 , G06T7/12 , G06T2207/20081 , G06T2207/30108
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
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公开(公告)号：US10664726B2
公开(公告)日：2020-05-26
申请号：US15723073
申请日：2017-10-02
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Cason Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
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公开(公告)号：US20180025254A1
公开(公告)日：2018-01-25
申请号：US15723073
申请日：2017-10-02
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Cason Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
CPC分类号： G06K9/6267 , A01D41/1277 , G06K9/0014 , G06K9/036 , G06K9/342 , G06K9/52 , G06K2209/17 , G06T7/0004 , G06T7/12 , G06T2207/20081 , G06T2207/30108
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
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