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1. 发明申请

US20120321174A1 Image Processing Using Random Forest Classifiers 有权
标题翻译：使用随机森林分类器的图像处理
公开(公告)号：US20120321174A1
公开(公告)日：2012-12-20
申请号：US13160744
申请日：2011-06-15
申请人： Alexey Tsymbal , Michael Kelm , Maria Jimena Costa , Shaohua Kevin Zhou , Dorin Comaniciu , Yefeng Zheng , Alexander Schwing
发明人： Alexey Tsymbal , Michael Kelm , Maria Jimena Costa , Shaohua Kevin Zhou , Dorin Comaniciu , Yefeng Zheng , Alexander Schwing
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06F17/30247 , G06F17/30268 , G06K9/6263 , G06K9/6282
摘要： A method of performing image retrieval includes training a random forest RF classifier based on low-level features of training images and a high-level feature, using similarity values generated by the RF classifier to determine a subset of the training images that are most similar to one another, and classifying input images for the high-level feature using the RF classifier and the determined subset of images.
摘要翻译：执行图像检索的方法包括基于训练图像的低级特征和高级特征来训练随机森林RF分类器，使用由RF分类器生成的相似性值来确定最相似的训练图像的子集并且使用RF分类器和确定的图像子集对高级特征的输入图像进行分类。

2. 发明授权

US08744172B2 Image processing using random forest classifiers 有权
标题翻译：使用随机森林分类器的图像处理
公开(公告)号：US08744172B2
公开(公告)日：2014-06-03
申请号：US13160744
申请日：2011-06-15
申请人： Alexey Tsymbal , Michael Kelm , Maria Jimena Costa , Shaohua Kevin Zhou , Dorin Comaniciu , Yefeng Zheng , Alexander Schwing
发明人： Alexey Tsymbal , Michael Kelm , Maria Jimena Costa , Shaohua Kevin Zhou , Dorin Comaniciu , Yefeng Zheng , Alexander Schwing
IPC分类号： G06K9/00
CPC分类号： G06K9/6219 , G06F17/30247 , G06F17/30268 , G06K9/6263 , G06K9/6282
摘要： A method of performing image retrieval includes training a random forest RF classifier based on low-level features of training images and a high-level feature, using similarity values generated by the RF classifier to determine a subset of the training images that are most similar to one another, and classifying input images for the high-level feature using the RF classifier and the determined subset of images.
摘要翻译：执行图像检索的方法包括基于训练图像的低级特征和高级特征来训练随机森林RF分类器，使用由RF分类器生成的相似性值来确定最相似的训练图像的子集并且使用RF分类器和确定的图像子集对高级特征的输入图像进行分类。

3. 发明授权

US08363918B2 Method and system for anatomic landmark detection using constrained marginal space learning and geometric inference 有权
标题翻译：使用约束边际空间学习和几何推理的解剖学地标检测方法和系统
公开(公告)号：US08363918B2
公开(公告)日：2013-01-29
申请号：US12604495
申请日：2009-10-23
申请人： Alexander Schwing , Yefeng Zheng , Martin Harder , Dorin Comaniciu
发明人： Alexander Schwing , Yefeng Zheng , Martin Harder , Dorin Comaniciu
IPC分类号： A61B6/03
CPC分类号： G06K9/6857 , A61B2034/105 , G06K9/3233 , G06K2209/051 , G06T7/75 , G06T7/77 , G06T2207/10081 , G06T2207/10088 , G06T2207/10132 , G06T2207/30016
摘要： A method and apparatus for detecting multiple anatomical landmarks in a 3D volume. A first anatomical landmark is detected in a 3D volume using marginal space learning (MSL). Locations of remaining anatomical landmarks are estimated in the 3D volume based on the detected first anatomical landmark using a learned geometric model relating the anatomical landmarks. Each of the remaining anatomical landmarks is then detected using MSL in a portion of the 3D volume constrained based on the estimated location of each remaining landmark. This method can be used to detect the anatomical landmarks of the crista galli (CG), tip of the occipital bone (OB), anterior of the corpus callosum (ACC), and posterior of the corpus callosum (PCC) in a brain magnetic resonance imaging (MRI) volume.
摘要翻译：一种用于检测3D体积中的多个解剖标志的方法和装置。使用边缘空间学习（MSL）在3D体积中检测到第一个解剖学标记。基于检测到的第一解剖学标记，使用与解剖标志相关联的学习的几何模型，在3D体积中估计剩余解剖学标记的位置。然后使用MSL在基于每个剩余地标的估计位置约束的3D体积的一部分中使用MSL来检测每个剩余的解剖标志。该方法可用于检测颅骨（CG），枕骨顶端（OB），胼the体前（ACC）和胼the体后脑（PCC）脑解剖标志物的脑磁共振成像（MRI）体积。

4. 发明申请

US20100119137A1 Method and System for Anatomic Landmark Detection Using Constrained Marginal Space Learning and Geometric Inference 有权
标题翻译：使用约束边际空间学习和几何推理的解剖地标检测方法和系统
公开(公告)号：US20100119137A1
公开(公告)日：2010-05-13
申请号：US12604495
申请日：2009-10-23
申请人： Alexander Schwing , Yefeng Zheng , Martin Harder , Dorin Comaniciu
发明人： Alexander Schwing , Yefeng Zheng , Martin Harder , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/6857 , A61B2034/105 , G06K9/3233 , G06K2209/051 , G06T7/75 , G06T7/77 , G06T2207/10081 , G06T2207/10088 , G06T2207/10132 , G06T2207/30016
摘要： A method and apparatus for detecting multiple anatomical landmarks in a 3D volume. A first anatomical landmark is detected in a 3D volume using marginal space learning (MSL). Locations of remaining anatomical landmarks are estimated in the 3D volume based on the detected first anatomical landmark using a learned geometric model relating the anatomical landmarks. Each of the remaining anatomical landmarks is then detected using MSL in a portion of the 3D volume constrained based on the estimated location of each remaining landmark. This method can be used to detect the anatomical landmarks of the crista galli (CG), tip of the occipital bone (OB), anterior of the corpus callosum (ACC), and posterior of the corpus callosum (PCC) in a brain magnetic resonance imaging (MRI) volume.
摘要翻译：一种用于检测3D体积中的多个解剖标志的方法和装置。使用边缘空间学习（MSL）在3D体积中检测到第一个解剖学标记。基于检测到的第一解剖学标记，使用与解剖标志相关联的学习的几何模型，在3D体积中估计剩余解剖学标记的位置。然后使用MSL在基于每个剩余地标的估计位置约束的3D体积的一部分中使用MSL来检测每个剩余的解剖标志。该方法可用于检测颅骨（CG），枕骨顶端（OB），胼the体前（ACC）和胼the体后脑（PCC）脑解剖标志物的脑磁共振成像（MRI）体积。

5. 发明授权

US06802375B2 Method for plugging a well with a resin 有权
标题翻译：用树脂堵塞井的方法
公开(公告)号：US06802375B2
公开(公告)日：2004-10-12
申请号：US10296308
申请日：2002-11-21
申请人： Martin Gerard Rene Bosma , Erik Kerst Cornelissen , Alexander Schwing
发明人： Martin Gerard Rene Bosma , Erik Kerst Cornelissen , Alexander Schwing
IPC分类号： E21B3313
CPC分类号： E21B36/001 , E21B33/138
摘要： A method for carrying out well construction, repair and abandonment operations, the method involves introducing a resin into a well and curing the same to form a seal, plug or connection, wherein the cured resin is expanded to at least the volume occupied by the resin prior to curing (compensating shrinkage), by cooling the well and curing the resin at a reduced temperature and subsequently allowing the well to reach its static bottom hole temperature. A method is also disclosed for analyzing the setting time, elastic properties, shrinkage/expansion, compressibility or coefficient of thermal expansion of thermosetting resins or oil well cements under simulated reservoir pressure and temperature conditions, which involves introducing a sample of a thermosetting resin or oil well cement into a pressure vessel that is equipped to provide the pressure and register the volume change to the analyzer used by this method.
摘要翻译：一种进行良好的施工，修理和弃置操作的方法，该方法包括将树脂引入井中并固化以形成密封件，塞子或连接件，其中固化树脂膨胀至至少树脂占据的体积在固化（补偿收缩）之前，通过冷却井并在降低的温度下固化树脂，随后允许井达到其静态井底温度。还公开了一种用于分析模拟储层压力和温度条件下热固性树脂或油井水泥的凝固时间，弹性，收缩/膨胀，压缩性或热膨胀系数的方法，其包括引入热固性树脂或油的样品将水泥牢固地装入压力容器中，该压力容器用于提供压力并将体积变化记录到通过该方法使用的分析仪上。

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