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71. 发明授权

US06690822B1 Method for detecting skin color in a digital image 失效
标题翻译：用于检测数字图像中肤色的方法
公开(公告)号：US06690822B1
公开(公告)日：2004-02-10
申请号：US09692930
申请日：2000-10-20
申请人： Shoupu Chen , Lawrence A. Ray
发明人： Shoupu Chen , Lawrence A. Ray
IPC分类号： G06K900
CPC分类号： G06K9/00234 , G06K9/4652 , G06T7/11 , G06T2207/30201
摘要： A method for detecting skin color in a digital image having pixels in an RGB color space generally includes the steps of performing statistical analysis of the digital color image to determine the mean RGB color values; then, if the mean value of any one of the colors is below a predetermined threshold, applying a transformation to the digital image to move skin colors in the image toward a predetermined region of the color space; and employing the transformed space to locate the skin color pixels in the digital color image. More specifically, if the mean value of any one of the colors is below a predetermined threshold, a non-linear transformation is applied to the digital image to move skin colors in the image toward a predetermined region of the color space. Then, depending on the preceding step, either the digital image or the transformed digital image is converted from the RGB space to a generalized RGB space to produce a gRGB digital image; skin color pixels are detected within the gRGB digital image; a first skin color image mask is formed based on the detected skin color pixels; a masked gRGB image is generated using the first skin color image mask; and finally the skin color image mask is employed to locate the skin color pixels in the digital color image.
摘要翻译：用于检测具有RGB颜色空间中的像素的数字图像中的肤色的方法通常包括执行数字彩色图像的统计分析以确定平均RGB颜色值的步骤; 然后，如果任意一种颜色的平均值低于预定阈值，则向数字图像应用变换以使图像中的皮肤颜色朝着颜色空间的预定区域移动; 并且使用变换的空间来定位数字彩色图像中的肤色像素。更具体地说，如果任何一种颜色的平均值低于预定阈值，则将非线性变换应用于数字图像，以使图像中的皮肤颜色朝着颜色空间的预定区域移动。然后，根据上述步骤，将数字图像或经变换的数字图像从RGB空间转换为广义RGB空间以产生gRGB数字图像; 在gRGB数字图像内检测肤色像素; 基于检测到的肤色像素形成第一皮肤彩色图像掩模; 使用第一皮肤彩色图像掩模生成蒙版的gRGB图像; 最后使用肤色图像掩模来定位数字彩色图像中的肤色像素。

72. 发明授权

US06677982B1 Method for three dimensional spatial panorama formation 失效
标题翻译：三维空间全景形成方法
公开(公告)号：US06677982B1
公开(公告)日：2004-01-13
申请号：US09686610
申请日：2000-10-11
申请人： Shoupu Chen , Lawrence A. Ray
发明人： Shoupu Chen , Lawrence A. Ray
IPC分类号： H04N700
CPC分类号： H04N5/23238 , G06T3/4038 , G06T2200/04 , G06T2200/32 , G06T2207/10012 , G06T2207/10028 , H04N13/106
摘要： A method, a system, and a computer program product for deriving a three-dimensional panorama from a plurality of stereo image pairs of a scene generated from a plurality of cameras, that includes acquiring a plurality of stereo image pairs of the scene, wherein there is an intra-overlap region between vertically aligned stereo image pairs; acquiring a plurality of stereo image pairs of the scene by rotating the plurality of cameras about a Y-axis, wherein there is an inter-overlap region between adjacent stereo image pairs; providing displacement data for capturing scene depth from a local XYZ image with non-distorted depth information; generating (X,Y,Z) values for each of the stereo image pairs with respect to a local three-dimensional coordinate system wherein the intra-stereo image pair is taken; selecting a reference three-dimensional world coordinate system against which spatial information of the scene can be correctly presented; transforming the generated (X,Y,Z) values from each of the local three-dimensional coordinate systems to the selected reference three-dimensional world coordinate system; warping the transformed (X,Y,Z) images onto a cylindrical surface, and forming a plurality of warped (X,Y,Z) images; registering adjacent warped (X,Y,Z) images; and forming a three-dimensional panorama, i.e., a (X,Y,Z) panorama using the warped (X,Y,Z) images.
摘要翻译：一种用于从多个相机生成的场景的多个立体图像对中导出三维全景图的方法，系统和计算机程序产品，其包括获取场景的多个立体图像对，其中，是垂直对齐的立体图像对之间的重叠内区域; 通过围绕Y轴旋转所述多个照相机来获取所述场景的多个立体图像对，其中在相邻的立体图像对之间存在相互重叠的区域; 提供用于从具有非失真深度信息的本地XYZ图像捕获场景深度的位移数据; 针对立体图像对采用的局部三维坐标系生成每个立体图像对的（X，Y，Z）值; 选择可以正确呈现场景的空间信息的参考三维世界坐标系; 将生成的（X，Y，Z）值从局部三维坐标系中的每一个变换为所选择的参考三维世界坐标系; 将变形的（X，Y，Z）图像翘曲在圆柱形表面上，并形成多个翘曲（X，Y，Z）图像; 记录相邻的扭曲（X，Y，Z）图像; 以及使用扭曲（X，Y，Z）图像形成三维全景图，即（X，Y，Z）全景图。

73. 发明授权

US08849016B2 Panoramic image generation from CBCT dental images 有权
标题翻译：来自CBCT牙科图像的全景图像生成
公开(公告)号：US08849016B2
公开(公告)日：2014-09-30
申请号：US13290196
申请日：2011-11-07
申请人： Shoupu Chen , Lawrence A. Ray , Jean-Marc Inglese
发明人： Shoupu Chen , Lawrence A. Ray , Jean-Marc Inglese
IPC分类号： G06K9/00
CPC分类号： G06T3/0031 , G06K2209/05 , G06T3/4038
摘要： A method for forming a panoramic image from a computed tomography image volume, acquires image data elements for one or more computed tomographic volume images of a subject, identifies a subset of the acquired computed tomographic images that contain one or more features of interest and defines, from the subset of the acquired computed tomographic images, a sub-volume having a curved shape that includes one or more of the contained features of interest. The curved shape is unfolded by defining a set of unfold lines wherein each unfold line extends at least between two curved surfaces of the curved shape sub-volume and re-aligning the image data elements within the curved shape sub-volume according to a re-alignment of the unfold lines. One or more views of the unfolded sub-volume are displayed.
摘要翻译：一种用于从计算机断层摄影图像体积形成全景图像的方法，获取对象的一个或多个计算机断层摄影体积图像的图像数据元素，识别包含一个或多个感兴趣特征的所获取的计算机断层图像的子集，从所获取的计算机断层图像的子集中，具有包括感兴趣的所包含特征中的一个或多个的具有弯曲形状的子体积。弯曲形状通过限定一组展开线而展开，其中每个展开线至少在弯曲形状子体积的两个弯曲表面之间延伸，并且根据重新排列在曲面形状子体积内重新对准图像数据元素，展开线对齐。显示展开的子卷的一个或多个视图。

74. 发明授权

US08768027B2 Method and system for cone beam computed tomography high density object artifact reduction 有权
标题翻译：锥束计算机断层扫描高密度物体伪影减少的方法和系统
公开(公告)号：US08768027B2
公开(公告)日：2014-07-01
申请号：US12710522
申请日：2010-02-23
申请人： Shoupu Chen , Lawrence A. Ray
发明人： Shoupu Chen , Lawrence A. Ray
IPC分类号： G06K9/00 , A61B6/00 , G06T7/00
CPC分类号： G06T7/0012 , A61B6/5258 , G06T11/005 , G06T2207/10081
摘要： A method of providing a corrected reconstructed computed tomography image accesses image data for computed tomography images of a subject, identifying a subset of the computed tomography images that contain high density features. At least one high density feature is detected in each of the identified subset. The high density feature is classified and a compensation image is formed by distributing pixels representative of tissue over the classified high density feature. A difference sinogram is generated for each image in the identified subset of images by subtracting a first sinogram of the high density feature from a second sinogram of the original image. A resultant sinogram is generated for each image in the identified subset by adding a third sinogram generated according to the compensation image to the difference sinogram. The corrected reconstructed computed tomography image is formed according to the resultant sinogram generated for each image in the identified subset of images.
摘要翻译：提供校正的重建计算机断层摄影图像的方法访问用于对象的计算机断层摄影图像的图像数据，识别包含高密度特征的计算机断层摄影图像的子集。在所识别的每个子集中检测到至少一个高密度特征。高密度特征被分类，并且通过在分类的高密度特征上分布代表组织的像素来形成补偿图像。通过从原始图像的第二正弦图中减去高密度特征的第一正弦图，对识别的图像子集中的每个图像生成差异正弦图。通过将根据补偿图像生成的第三正弦图加到差分正弦图中，为识别的子集中的每个图像生成正弦图。根据在识别的图像子集中为每个图像生成的合成正弦图形成校正的重建计算机断层摄影图像。

75. 发明授权

US08260014B2 Microcalcification detection in mammography CAD using a classifier 有权
标题翻译：使用分类器进行乳腺X线照片的微钙化检测
公开(公告)号：US08260014B2
公开(公告)日：2012-09-04
申请号：US12102144
申请日：2008-04-14
申请人： Shoupu Chen , Yong Chu
发明人： Shoupu Chen , Yong Chu
IPC分类号： G06K9/00
CPC分类号： G06K9/4633 , G06K9/6254 , G06K9/6281 , G06K2209/053 , G06T7/0012 , G06T2207/10116 , G06T2207/30068
摘要： A system is disclosed that is configured for microcalcifications (mcc) detecting by forming a plurality of true mcc clusters and a plurality of normal clusters, gathering spot and cluster features from said clusters, extracting linear structure features, and using said spot, cluster and linear structure features in mcc detector algorithm training.
摘要翻译：公开了一种通过形成多个真实mcc簇和多个正常群集来构造微钙化（mcc）检测的系统，从所述簇聚集斑点和簇特征，提取线性结构特征，并使用所述斑点，簇和线性结构特征在mcc检测器算法训练中。

76. 发明授权

US08068657B2 Method of microcalcification detection in mammography 失效
标题翻译：乳腺摄影术中微钙化检测方法
公开(公告)号：US08068657B2
公开(公告)日：2011-11-29
申请号：US12211405
申请日：2008-09-16
申请人： Shoupu Chen , Lawrence A. Ray
发明人： Shoupu Chen , Lawrence A. Ray
IPC分类号： G06K9/62 , A61B6/04
CPC分类号： G06K9/6288 , G06T7/0012 , G06T2207/10116 , G06T2207/30068
摘要： A method of microcalcification detection in a digital mammographic image identifies one or more potential microcalcification sites in the mammographic image according to spot clustering. Each of the one or more potential microcalcification sites is assigned either as a member of a positive candidate set or as a member of a rejected candidate set. Optionally at least one subsequent classifier process that selectively assigns zero or more members of the positive candidate set to the rejected candidate set is executed, according to results from the at least one subsequent classifier process. One or more members of the rejected candidate set are selected as a reclamation candidate set according to results from the initial and any subsequent classifier process. One or more members of the reclamation candidate set are assigned either back to the rejected candidate set or to the positive candidate set according to results from a reclamation classifier process.
摘要翻译：在数字乳腺X线照相图像中微钙化检测的方法根据斑点聚类识别乳房X线照相图像中的一个或多个潜在的微钙化位点。一个或多个潜在的微钙化位点中的每一个被分配为正候选集合的成员或被拒绝的候选集的成员。可选地，根据来自至少一个后续分类过程的结果，执行至少一个随后的分类过程，其选择性地将正候选集合的零个或多个成员分配给拒绝的候选集。根据初始和任何后续分类过程的结果，将被拒绝的候选集的一个或多个成员选为回收候选集。回收候选集的一个或多个成员根据回收分类过程的结果被分配回拒绝的候选集合或者被分配给正候选集合。

77. 发明申请

US20110142323A1 METHOD FOR DETECTION OF LINEAR STRUCTURES AND MICROCALCIFICATIONS IN MAMMOGRAPHIC IMAGES 有权
标题翻译：检测线性结构和微观图像的方法
公开(公告)号：US20110142323A1
公开(公告)日：2011-06-16
申请号：US12973035
申请日：2010-12-20
申请人： Shoupu Chen , Lawrence A. Ray
发明人： Shoupu Chen , Lawrence A. Ray
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/4633 , G06T2207/20104 , G06T2207/30068
摘要： A method for detecting a linear structure in a digital mammographic image, using a processor or computer at least in part, locates at least one microcalcification candidate cluster in the image data and extracts a first region of interest that encloses the at least one microcalcification candidate cluster. The first region of interest is processed to identify feature points that correspond to geometric structures in the first region of interest. A linear detection algorithm is applied by a repeated process that selects a line model from a predefined set of line models and analyzes the line model to determine whether a linear structure is present in the first region of interest.
摘要翻译：一种用于使用处理器或计算机至少部分地检测数字乳腺X线照相图像中的线性结构的方法，将至少一个微钙化候选聚类定位在图像数据中，并提取包围至少一个微钙化候选簇的第一感兴趣区域。第一感兴趣区域被处理以识别对应于第一感兴趣区域中的几何结构的特征点。通过重复的过程应用线性检测算法，该过程从预定义的一组线模型中选择线模型，并分析线模型以确定在第一感兴趣区域中是否存在线性结构。

78. 发明授权

US07848592B2 Image fusion for radiation therapy 失效
标题翻译：放射治疗图像融合
公开(公告)号：US07848592B2
公开(公告)日：2010-12-07
申请号：US11461061
申请日：2006-07-31
申请人： Shoupu Chen , Jay S. Schildkraut
发明人： Shoupu Chen , Jay S. Schildkraut
IPC分类号： G06K9/00 , G06K9/46 , G06K9/66 , G06K9/36 , G06K9/20 , G06K9/32
CPC分类号： G06T7/35 , G06T2207/30004
摘要： An image fusion method for medical applications, comprising: a. acquiring a first image with a planned radiation region; b. acquiring a second image with actual radiation region; c. determining if user defined landmarks have been placed on the first and second images, if user defined landmarks are present go to step (d), if not go to step (e); d. pre-transforming the first image or second image or both images; e. performing a first delineation step on the actual radiation region; f. determining if the delineation is correct, if yes go to step (g), if not go to step (h); g. fusing the first and second image and exit process; and h. selecting multiple contour points around the actual radiation region in the second image; i. performing a second delineation step on the actual radiation region and go to step (f).
摘要翻译：一种用于医疗应用的图像融合方法，包括：a。获取具有计划辐射区域的第一图像; b。用实际辐射区域获取第二图像; C。确定用户定义的地标是否已被放置在第一和第二图像上，如果存在用户定义的地标，则进入步骤（d），如果不转到步骤（e）; d。预变换第一图像或第二图像或两个图像; e。对实际辐射区域进行第一划定步骤; F。确定描述是否正确，如果是，则转到步骤（g），如果不去步骤（h）; G。融合第一和第二个图像和退出过程; 和h。在所述第二图像中选择围绕所述实际辐射区域的多个轮廓点; 一世。对实际辐射区域执行第二描绘步骤，并进入步骤（f）。

79. 发明申请

US20100098314A1 TUBE DETECTION IN DIAGNOSTIC IMAGES 有权
标题翻译：诊断图像中的管检测
公开(公告)号：US20100098314A1
公开(公告)日：2010-04-22
申请号：US12255830
申请日：2008-10-22
申请人： Zhimin Huo , Shoupu Chen
发明人： Zhimin Huo , Shoupu Chen
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , G06K2209/057 , G06T7/12 , G06T7/181 , G06T2207/30061 , G06T2207/30101
摘要： A method for detecting tubing in a radiographic image of a patient, executed at least in part by a control logic processor, obtains radiographic image data for a patient and identifies a region of interest in the radiographic image. A gradient magnitude image of the region of interest is formed and analyzed to identify one or more linear features by defining a band lying substantially within the region of interest and having a center point and repeating a sequence with two or more iterations of assigning a rotation angle for the rotatable band about the center point and computing the ensemble average of gradient magnitude values along each of a plurality of lines extending within the rotatable band at the defined rotation angle, then computing relative magnitudes for the lines. The one or more identified linear features are evaluated according to the results of the ensemble average computing.
摘要翻译：至少部分地由控制逻辑处理器执行的用于检测患者的放射照相图像中的管道的方法获得患者的放射照相图像数据，并识别放射照相图像中的感兴趣区域。形成和分析感兴趣区域的梯度幅度图像以通过定义基本上位于感兴趣区域内的带并且具有中心点并且重复具有分配旋转角度的两次或更多次迭代的序列来识别一个或多个线性特征对于围绕中心点的可旋转带，并且以限定的旋转角计算在可旋转带内延伸的多条线中的每一条上的梯度幅度值的整体平均值，然后计算线的相对幅度。根据整体平均计算的结果来评估一个或多个所识别的线性特征。

80. 发明申请

US20100021036A1 METHOD OF MICROCALCIFICATION DETECTION IN MAMMOGRAPHY 失效
标题翻译：微观鉴别检测方法
公开(公告)号：US20100021036A1
公开(公告)日：2010-01-28
申请号：US12211405
申请日：2008-09-16
申请人： Shoupu Chen , Lawrence A. Ray
发明人： Shoupu Chen , Lawrence A. Ray
IPC分类号： G06K9/62
CPC分类号： G06K9/6288 , G06T7/0012 , G06T2207/10116 , G06T2207/30068
摘要： A method of microcalcification detection in a digital mammographic image identifies one or more potential microcalcification sites in the mammographic image according to spot clustering. Each of the one or more potential microcalcification sites is assigned either as a member of a positive candidate set or as a member of a rejected candidate set. Optionally at least one subsequent classifier process that selectively assigns zero or more members of the positive candidate set to the rejected candidate set is executed, according to results from the at least one subsequent classifier process. One or more members of the rejected candidate set are selected as a reclamation candidate set according to results from the initial and any subsequent classifier process. One or more members of the reclamation candidate set are assigned either back to the rejected candidate set or to the positive candidate set according to results from a reclamation classifier process.
摘要翻译：在数字乳腺X线照相图像中微钙化检测的方法根据斑点聚类识别乳房X线照相图像中的一个或多个潜在的微钙化位点。一个或多个潜在的微钙化位点中的每一个被分配为正候选集合的成员或被拒绝的候选集的成员。可选地，根据来自至少一个后续分类过程的结果，执行至少一个随后的分类过程，其选择性地将正候选集合的零个或多个成员分配给拒绝的候选集。根据初始和任何后续分类过程的结果，将被拒绝的候选集的一个或多个成员选为回收候选集。回收候选集的一个或多个成员根据回收分类过程的结果被分配回拒绝的候选集合或者被分配给正候选集合。

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