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1. 发明授权

US09053353B2 Image classification of germination potential of somatic embryos 有权
标题翻译：体细胞胚发芽势图像分类
公开(公告)号：US09053353B2
公开(公告)日：2015-06-09
申请号：US11833807
申请日：2007-08-03
申请人： Roger Timmis , Mitchell R. Toland , Timnit Ghermay , William C. Carlson , James A. Grob
发明人： Roger Timmis , Mitchell R. Toland , Timnit Ghermay , William C. Carlson , James A. Grob
IPC分类号： G06K9/00 , C12N15/82 , A01C1/00 , A01H1/04 , A01H4/00
CPC分类号： G06K9/00147 , A01C1/00 , A01H1/04 , A01H4/00 , B07C2501/009 , C12N15/8207
摘要： The present invention is directed towards methods for the classification of plant embryos by the application of one or more classification algorithms to analyze digitized images and absorption, transmittance, or reflectance spectra. The methods are generally applicable and emphasize the importance of acquiring and using as much image and absorption, transmittance, or reflectance spectral information as possible, based on objective criteria. The present invention allows automated selection of embryos most suitable for further culture and rejection of those seen as less suitable.
摘要翻译：本发明涉及通过应用一种或多种分类算法来分析数字化图像和吸收，透射率或反射光谱来分类植物胚胎的方法。这些方法通常是适用的，并强调基于客观标准获取和使用尽可能多的图像和吸收，透射率或反射光谱信息的重要性。本发明允许自动选择最适合进一步培养和排除那些被认为不太适合的胚胎。

2. 发明授权

US07610155B2 Methods for processing spectral data for enhanced embryo classification 有权
标题翻译：用于处理增强胚胎分类的光谱数据的方法
公开(公告)号：US07610155B2
公开(公告)日：2009-10-27
申请号：US11297919
申请日：2005-12-08
申请人： Roger Timmis , Mitchell R. Toland
发明人： Roger Timmis , Mitchell R. Toland
IPC分类号： G01N33/48 , G01N33/50
CPC分类号： G06K9/0014 , G06K9/00147
摘要： A method is disclosed for classifying plant embryos according to their quality using a logistic regression model. First, sets of image or spectral data are acquired from plant embryos of known quality, respectively. Second, each of the acquired sets of image or spectral data is associated with one of multiple class labels according to the corresponding embryo's known quality. Third the sets of image or spectral data values are filtered to provide filtered image or spectral data values. Fourth, a classification algorithm, e.g., a logistic regression analysis is applied to the filtered data values and their corresponding class labels to develop a classification model. Fifth, image or spectral data are acquired from a plant embryo of unknown quality, and filtered data values are derived therefrom. Sixth, the classification model is applied to the filtered data values for the plant embryo of unknown quality to classify the same.
摘要翻译：公开了一种使用逻辑回归模型根据其质量对植物胚胎进行分类的方法。首先，分别从已知质量的植物胚胎获取图像或光谱数据集。其次，根据相应的胚胎的已知质量，获得的图像或光谱数据集合中的每一个与多个类别标签之一相关联。第三，对图像或光谱数据值集合进行滤波以提供滤波图像或光谱数据值。第四，将分类算法，例如逻辑回归分析应用于过滤的数据值及其对应的类标签，以开发分类模型。第五，从未知质量的植物胚胎获取图像或光谱数据，并从其中导出滤波数据值。第六，将分类模型应用于未知质量的植物胚胎的过滤数据值进行分类。

3. 发明授权

US08691575B2 General method of classifying plant embryos using a generalized Lorenz-Bayes classifier 有权
标题翻译：使用广义洛伦兹贝叶斯分类器对植物胚胎进行分类的一般方法
公开(公告)号：US08691575B2
公开(公告)日：2014-04-08
申请号：US10932481
申请日：2004-09-02
申请人： Mitchell R. Toland
发明人： Mitchell R. Toland
IPC分类号： C12N5/00
CPC分类号： G06K9/00
摘要： A method of classifying plant embryos according to their quality based on a general form of Lorenz-Bayes classifier is disclosed. First, image or spectral data of plant embryos of known quality are acquired, and the data are divided into two classes according to the embryos' known quality. Second, metrics are calculated from the acquired image or spectral data in each class. Third, multi-dimensional histograms of multiple metrics are prepared for both classes. Fourth, the difference or some other measure of comparison between the two multi-dimensional histograms is obtained. Fifth, image or spectral data of a plant embryo of unknown quality are obtained and metrics are calculated therefrom. Sixth, the embryo of unknown quality is assigned to a class based on its calculated metrics and the result of the comparison as calculated in the fourth step above.
摘要翻译：公开了一种基于洛伦兹 - 贝叶斯分类器的一般形式根据其质量对植物胚胎进行分类的方法。首先，获取已知质量的植物胚胎的图像或光谱数据，并根据胚胎的已知质量将数据分为两类。其次，根据所获取的图像或每个类中的光谱数据计算度量。第三，为两个类准备了多个度量的多维直方图。第四，获得两个多维直方图之间的差异或一些其他的比较度量。第五，获得质量未知的植物胚胎的图像或光谱数据，并从中计算度量。第六，质量未知的胚胎根据其计算的指标和上述第四步计算的比较结果分配给一个类别。

4. 发明申请

US20100332438A1 Methods for Predicting Warp of a Wood Product Produced from a Log 审中-公开
标题翻译：从日志生成的木制品的经纱预测方法
公开(公告)号：US20100332438A1
公开(公告)日：2010-12-30
申请号：US12494146
申请日：2009-06-29
申请人： Mitchell R. Toland , Chih-Lin Huang , Mark A. Stanish , Stanely L. Floyd
发明人： Mitchell R. Toland , Chih-Lin Huang , Mark A. Stanish , Stanely L. Floyd
IPC分类号： G06N5/04 , G01B1/00 , G06F17/18 , G06F17/50
CPC分类号： G06F17/5009 , G06F2217/10 , G06F2217/16 , G06T17/10
摘要： The present disclosure relates to methods for predicting warp of a wood product produced from a log. Some embodiments include performing a three dimensional scan of the log to obtain geometric data, using the geometric data to construct a log profile, partitioning the geometric data into geometric components, removing one or more selected geometric components to create one or more residual grid profiles, deriving geometric statistics from the one or more residual grid profiles or from the log profile, and entering the geometric statistics into a model for predicting warp of the wood product. The geometric statistics may include orientation dependent and orientation independent statistics.
摘要翻译：本公开涉及用于预测由日志产生的木制品的翘曲的方法。一些实施例包括执行日志的三维扫描以获得几何数据，使用几何数据来构建日志简档，将几何数据分割成几何分量，去除一个或多个所选择的几何分量以创建一个或多个残余网格轮廓，从一个或多个残余网格轮廓或从对数轮廓导出几何统计量，并将几何统计数据输入到用于预测木材产品翘曲的模型中。几何统计可以包括取向和取向独立统计。

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