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公开(公告)号：US20110199370A1
公开(公告)日：2011-08-18
申请号：US12814835
申请日：2010-06-14
CPC分类号： G06T11/203 , G06T7/33 , G06T11/206 , G06T11/40 , G06T19/00 , G06T2207/10056 , G06T2207/30016
摘要： The present invention discloses an image processing method for feature retention associated with averaging processes. The image processing method comprises: scaling and aligning a plurality of image data for acquiring feature information; determining a plurality of two-dimensional feature label points according to the feature information for generating at least one Bezier curve; utilizing the at least one Bezier curve to generate at least one Bezier tube and performing Bezier tube fitting for generating result of Bezier tube fitting; deforming the plurality of image data according to the Bezier tube or the result of Bezier tube fitting for generating a plurality of deformed image data; and averaging the plurality of deformed image data for generating feature-preserved average image data. The present invention also provides an image processing system, a computer readable storage medium, and a computer program product, for implementing the image processing method.
摘要翻译： 本发明公开了一种与平均处理相关的特征保留的图像处理方法。 图像处理方法包括：对多个图像数据进行缩放和对准以获取特征信息; 根据用于生成至少一个贝塞尔曲线的特征信息确定多个二维特征标记点; 利用至少一个贝塞尔曲线生成至少一个贝塞尔管，并执行贝塞尔管配件以产生贝塞尔管配件的结果; 根据Bezier管使多个图像数据变形或者用于生成多个变形图像数据的Bezier管接头的结果; 以及对所述多个变形图像数据进行平均以产生特征保存的平均图像数据。 本发明还提供了一种用于实现图像处理方法的图像处理系统，计算机可读存储介质和计算机程序产品。
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公开(公告)号：US08941720B2
公开(公告)日：2015-01-27
申请号：US13019991
申请日：2011-02-02
CPC分类号： G06T3/4007 , G02B21/008 , G02B21/16 , G02B21/367
摘要： A method of enhancing 3D image information density, comprising providing a confocal fluorescent microscope and a rotational stage. 3D image samples at different angles are collected. A deconvolution process of the 3D image samples by a processing unit is performed. A registration process of the deconvoluted 3D image samples by the processing unit is performed. An interpolation process of the registered 3D image samples by the processing unit is performed to output a 3D image in high resolution.
摘要翻译： 一种提高3D图像信息密度的方法，包括提供共焦荧光显微镜和旋转台。 收集不同角度的3D图像样本。 执行处理单元的3D图像采样的去卷积处理。 执行由处理单元进行去卷积的3D图像样本的登记处理。 执行由处理单元注册的3D图像采样的插值处理，以高分辨率输出3D图像。
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公开(公告)号：US20120194646A1
公开(公告)日：2012-08-02
申请号：US13019991
申请日：2011-02-02
IPC分类号： H04N13/02
CPC分类号： G06T3/4007 , G02B21/008 , G02B21/16 , G02B21/367
摘要： A method of enhancing 3D image information density, comprising providing a confocal fluorescent microscope and a rotational stage. 3D image samples at different angles are collected. A deconvolution process of the 3D image samples by a processing unit is performed. A registration process of the deconvoluted 3D image samples by the processing unit is performed. An interpolation process of the registered 3D image samples by the processing unit is performed to output a 3D image in high resolution.
摘要翻译： 一种提高3D图像信息密度的方法，包括提供共焦荧光显微镜和旋转台。 收集不同角度的3D图像样本。 执行处理单元的3D图像采样的去卷积处理。 执行由处理单元进行去卷积的3D图像样本的登记处理。 执行由处理单元注册的3D图像采样的插值处理，以高分辨率输出3D图像。
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公开(公告)号：US08665276B2
公开(公告)日：2014-03-04
申请号：US12814835
申请日：2010-06-14
CPC分类号： G06T11/203 , G06T7/33 , G06T11/206 , G06T11/40 , G06T19/00 , G06T2207/10056 , G06T2207/30016
摘要： The present invention discloses an image processing method for feature retention associated with averaging processes. The image processing method comprises: scaling and aligning a plurality of image data for acquiring feature information; determining a plurality of two-dimensional feature label points according to the feature information for generating at least one Bezier curve; utilizing the at least one Bezier curve to generate at least one Bezier tube and performing Bezier tube fitting for generating result of Bezier tube fitting; deforming the plurality of image data according to the Bezier tube or the result of Bezier tube fitting for generating a plurality of deformed image data; and averaging the plurality of deformed image data for generating feature-preserved average image data. The present invention also provides an image processing system, a computer readable storage medium, and a computer program product, for implementing the image processing method.
摘要翻译： 本发明公开了一种与平均处理相关的特征保留的图像处理方法。 图像处理方法包括：对多个图像数据进行缩放和对准以获取特征信息; 根据用于生成至少一个贝塞尔曲线的特征信息确定多个二维特征标记点; 利用至少一个贝塞尔曲线生成至少一个贝塞尔管，并执行贝塞尔管配件以产生贝塞尔管配件的结果; 根据Bezier管使多个图像数据变形或者用于生成多个变形图像数据的Bezier管接头的结果; 以及对所述多个变形图像数据进行平均以产生特征保存的平均图像数据。 本发明还提供了一种用于实现图像处理方法的图像处理系统，计算机可读存储介质和计算机程序产品。
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5.发明申请Bio-expression system with module for creating the standard drosophila brain model and its coordinate system 有权生物表达系统，用于创建标准果蝇脑模型及其坐标系公开(公告)号：US20090063119A1
公开(公告)日：2009-03-05
申请号：US12222813
申请日：2008-08-18
IPC分类号： G06G7/60
CPC分类号： G09B23/36
摘要： A method of generating standard brain model from a bio-expression system includes performing steps of registration to input standard surface and individual surface into affine registration; recording a transformation parameters from the affine registration; performing steps of inputting a individual neuropil and transform parameters into an affine transformation; applying the data of the affine transformation to transform individual neuropil to achieve transformed individual neuropil; and performing a step of affine registration to register a standard neuropil to the transformed individual neuropil to achieve a resulting transformation, wherein the resulting transformation can be output as a position and orientation of standard neuropil within the standard surface.
摘要翻译： 从生物表达系统生成标准脑模型的方法包括执行登记步骤，将标准表面和个体表面输入到仿射登记中; 从仿射登记记录变换参数; 执行输入单个神经纤维并将参数变换成仿射变换的步骤; 应用仿射变换的数据来转换个体神经纤维，实现转化的个体神经纤维; 以及进行仿射登记的步骤以将标准神经纤维注册到经变换的个体神经纤维以实现所得到的转化，其中所得到的转化可以作为标准表面内的标准神经毡的位置和取向输出。
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公开(公告)号：US08520933B2
公开(公告)日：2013-08-27
申请号：US12690424
申请日：2010-01-20
申请人： Sheng-Chuan Wang , Ann-Shyn Chiang , Ping-Chang Lee , Ching-Yao Lin , Yu-Tai Ching , Chao-Jun Zhuang , Hsiu-Ming Chang , Yung-Chang Chen , Kuen-Long Tsai , Chang-Huain Hsieh
发明人： Sheng-Chuan Wang , Ann-Shyn Chiang , Ping-Chang Lee , Ching-Yao Lin , Yu-Tai Ching , Chao-Jun Zhuang , Hsiu-Ming Chang , Yung-Chang Chen , Kuen-Long Tsai , Chang-Huain Hsieh
IPC分类号： G06K9/00
CPC分类号： G06T19/00 , G06T2200/24
摘要： The present invention relates to methods for searching and constructing a 3D motif image database, wherein said 3D motif image database can be used to understand the connection relationship of a 3D network, e.g. a neural network comprising biological neural networks or artificial neural networks. The searching and constructing methods are applied on the 3D motif image database, a proper computer-aided graphic platform. The database not only facilitates the management of the huge amount of categorized data but also rationally excavates the hidden information cloaked within.
摘要翻译： 本发明涉及用于搜索和构建3D图案图像数据库的方法，其中所述3D图案数据库可用于理解3D网络的连接关系，例如， 包括生物神经网络或人造神经网络的神经网络。 搜索和构建方法应用于3D图案图像数据库，一个合适的计算机辅助图形平台。 数据库不仅有助于管理大量的分类数据，还可以合理挖掘隐藏在其中的隐藏信息。
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公开(公告)号：US07742878B2
公开(公告)日：2010-06-22
申请号：US11169890
申请日：2005-06-30
申请人： Ann-Shyn Chiang , Yung-Chang Chen , Chaung Lin , Yu-Tai Ching , Chuan Yi Tang , Hsiu-Ming Chang
发明人： Ann-Shyn Chiang , Yung-Chang Chen , Chaung Lin , Yu-Tai Ching , Chuan Yi Tang , Hsiu-Ming Chang
CPC分类号： G09B23/36
摘要： The bio-expression system comprising: a process system used to process data and a three-dimension image generating module embedded in the computing system, wherein while input of a set of two-dimensional individual model sections is fed into the process system, the three-dimension image generating module is responsive to the input of the two-dimension individual model sections and is capable of processing an individual model construction and model-averaging procedure, thereby generating an average model for each individual dataset. A database includes a bio-expression sub-database, cellular network sub-database and fine structure sub-database, wherein the database is coupled to the process system to store at least the average model. A stereoscopic projecting system is coupled to the process system to display stereoscopic images for active or passive virtual reality applications, thereby presenting the bio-expressions, cellular networks or bio-fine structures under the input instruction of the process system.
摘要翻译： 生物表达系统包括：用于处理数据的处理系统和嵌入在计算系统中的三维图像生成模块，其中当一组二维单个模型部分的输入被馈送到处理系统中时，三个 尺寸图像生成模块响应于二维单独模型部分的输入，并且能够处理单个模型构造和模型平均过程，从而为每个单独的数据集生成平均模型。 数据库包括生物表达子数据库，蜂窝网络子数据库和精细结构子数据库，其中数据库耦合到处理系统以至少存储平均模型。 立体投影系统耦合到处理系统以显示用于主动或被动虚拟现实应用的立体图像，从而在处理系统的输入指令下呈现生物表达，蜂窝网络或生物细微结构。
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公开(公告)号：US20100296712A1
公开(公告)日：2010-11-25
申请号：US12468448
申请日：2009-05-19
申请人： Ann-Shyn CHIANG , Ping-Chang Lee , Yu-Tai Ching , Chao-Jun Zhuang , Hsiu-Ming Chang , Yung-Chang Chen , Chang-Huain Hsieh
发明人： Ann-Shyn CHIANG , Ping-Chang Lee , Yu-Tai Ching , Chao-Jun Zhuang , Hsiu-Ming Chang , Yung-Chang Chen , Chang-Huain Hsieh
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , G06T2207/10056 , G06T2207/10081 , G06T2207/20016 , G06T2207/30016 , G06T2207/30172
摘要： The present invention discloses an image preprocessing system, which includes a processing unit; an image preprocessing unit coupled to the processing unit to preprocess image slice data, wherein the image preprocessing unit includes an image fusion module to estimate missing values between different image slice data and an image stitching module to stitch different image slice data into stitched image data; and a database coupled to the processing unit to store the preprocessed image slice data.
摘要翻译： 本发明公开了一种图像预处理系统，包括：处理单元; 图像预处理单元，耦合到所述处理单元以预处理图像切片数据，其中所述图像预处理单元包括图像融合模块，用于估计不同图像切片数据之间的缺失值和图像拼接模块，以将不同图像切片数据缝合为缝合图像数据; 以及耦合到处理单元以存储预处理的图像切片数据的数据库。
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公开(公告)号：US20070020599A1
公开(公告)日：2007-01-25
申请号：US11169890
申请日：2005-06-30
申请人： Ann-Shyn Chiang , Yung-Chang Chen , Chaung Lin , Yu-Tai Ching , Chuan Tang , Hsiu-Ming Chang
发明人： Ann-Shyn Chiang , Yung-Chang Chen , Chaung Lin , Yu-Tai Ching , Chuan Tang , Hsiu-Ming Chang
IPC分类号： G09B23/00
CPC分类号： G09B23/36
摘要： The bio-expression system comprising: a process system used to process data and a three-dimension image generating module embedded in the computing system, wherein while input of a set of two-dimensional individual model sections is fed into the process system, the three-dimension image generating module is responsive to the input of the two-dimension individual model sections and is capable of processing an individual model construction and model-averaging procedure, thereby generating an average model for each individual dataset. A database includes a bio-expression sub-database, cellular network sub-database and fine structure sub-database, wherein the database is coupled to the process system to store at least the average model. A stereoscopic projecting system is coupled to the process system to display stereoscopic images for active or passive virtual reality applications, thereby presenting the bio-expressions, cellular networks or bio-fine structures under the input instruction of the process system.
摘要翻译： 生物表达系统包括：用于处理数据的处理系统和嵌入在计算系统中的三维图像生成模块，其中当一组二维单个模型部分的输入被馈送到处理系统中时，三个 尺寸图像生成模块响应于二维单独模型部分的输入，并且能够处理单个模型构造和模型平均过程，从而为每个单独的数据集生成平均模型。 数据库包括生物表达子数据库，蜂窝网络子数据库和精细结构子数据库，其中数据库耦合到处理系统以至少存储平均模型。 立体投影系统耦合到处理系统以显示用于主动或被动虚拟现实应用的立体图像，从而在处理系统的输入指令下呈现生物表达，蜂窝网络或生物细微结构。
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10.发明授权Bio-expression system with module for creating the standard Drosophila brain model and its coordinate system 有权生物表达系统，用于创建标准果蝇脑模型及其坐标系统公开(公告)号：US08315809B2
公开(公告)日：2012-11-20
申请号：US12222813
申请日：2008-08-18
IPC分类号： G06F7/00
CPC分类号： G09B23/36
摘要： A method of generating standard brain model from a bio-expression system includes performing steps of registration to input standard surface and individual surface into affine registration; recording a transformation parameters from the affine registration; performing steps of inputting a individual neuropil and transform parameters into an affine transformation; applying the data of the affine transformation to transform individual neuropil to achieve transformed individual neuropil; and performing a step of affine registration to register a standard neuropil to the transformed individual neuropil to achieve a resulting transformation, wherein the resulting transformation can be output as a position and orientation of standard neuropil within the standard surface.
摘要翻译： 从生物表达系统生成标准脑模型的方法包括执行登记步骤，将标准表面和个体表面输入到仿射登记中; 从仿射登记记录变换参数; 执行输入单个神经纤维并将参数变换成仿射变换的步骤; 应用仿射变换的数据来转换个体神经纤维，实现转化的个体神经纤维; 以及进行仿射登记的步骤以将标准神经纤维注册到经变换的个体神经纤维以实现所得到的转化，其中所得到的转化可以作为标准表面内的标准神经毡的位置和取向输出。
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