公开(公告)号：US20060171591A1

公开(公告)日：2006-08-03

申请号：US11343128

申请日：2006-01-30

申请人： Ti-chiun Chang ,  Jason Tyan

发明人： Ti-chiun Chang ,  Jason Tyan

IPC分类号： G06K9/46 ,  G06K9/48 ,  G06K9/56

CPC分类号： G06K9/4609 ,  G06T5/004 ,  G06T2207/30004

摘要： A method for estimating feature values from a digitized image includes calculating a gradient of an image, defining a filter weighting function, convolving the gradient with the filter weighting function, integrating over a subdomain of the convolved gradient to calculate components of a cost matrix Φ, wherein the cost matrix minimizes a distance metric in a frequency domain of the image, solving for the eigenvalues of the cost matrix, and calculating one or more features from the cost matrix eigenvalues. One or more predesigned bandpass filters can be applied to the image, and cost matrix eigenvalues are analyzed to select one or more appropriate bandpass filters to be applied to the image.

公开(公告)号：US20060087703A1

公开(公告)日：2006-04-27

申请号：US11252334

申请日：2005-10-17

申请人： Yunqiang Chen ,  Hongcheng Wang ,  Tong Fang ,  Jason Tyan

发明人： Yunqiang Chen ,  Hongcheng Wang ,  Tong Fang ,  Jason Tyan

IPC分类号： H04N1/38

CPC分类号： G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/20192 ,  G06T2207/30004

摘要： A method for multiple image restoration includes receiving a plurality of images corrupted by noise, and initializing a reduced noise estimate of the plurality of images. The method further includes estimating a probability of distributions of noise around each pixel and the probability of the signal, estimating mutual information between noise on the plurality of images based on the probabilities of distributions of noise around each pixel and the joint distribution of noise, and updating each pixel within a search range to determine a restored image by reducing the mutual information between the noise on the plurality of images.

摘要翻译： 一种用于多重图像恢复的方法包括：接收由噪声破坏的多个图像，以及初始化所述多个图像的降低的噪声估计。 该方法还包括估计每个像素周围的噪声分布概率和信号的概率，基于每个像素周围的噪声分布的概率和噪声的联合分布来估计多个图像上的噪声之间的相互信息;以及 更新搜索范围内的每个像素以通过减少多个图像上的噪声之间的相互信息来确定恢复的图像。

公开(公告)号：US20070127756A1

公开(公告)日：2007-06-07

申请号：US11558956

申请日：2006-11-13

申请人： Gregory Slabaugh ,  Jason Tyan

发明人： Gregory Slabaugh ,  Jason Tyan

IPC分类号： H04R25/00

CPC分类号： H04R25/658 ,  A61B5/0066 ,  A61B5/1076 ,  A61B5/1077 ,  A61B5/6817 ,  H04R25/652

摘要： A method and apparatus for generating a three dimensional representation of an ear canal are disclosed whereby an ear canal of a patient is imaged using optical coherence tomography (OCT). In a first embodiment, cross-section images of an ear canal are taken by, for example, rotating an OCT imaging sensor about a predetermined axis at each of a plurality of positions. In accordance with another embodiment, a contour line is then identified in each of the cross section images and a flow algorithm is used to identify the boundary of the ear canal cross section. Once the boundaries of each cross section have been identified, all of the cross section images are combined to generate a three dimensional image of the ear canal.

摘要翻译： 公开了一种用于产生耳道的三维表示的方法和装置，其中使用光学相干断层摄影（OCT）对患者的耳道进行成像。 在第一实施例中，耳道的横截面图像是通过例如在多个位置的每一个处围绕预定轴线旋转OCT成像传感器而获得的。 根据另一实施例，然后在每个截面图像中识别轮廓线，并且使用流动算法来识别耳道横截面的边界。 一旦已经识别出每个横截面的边界，则将所有横截面图像组合以产生耳道的三维图像。

公开(公告)号：US20060056701A1

公开(公告)日：2006-03-16

申请号：US11044237

申请日：2005-01-27

申请人： Gozde Unal ,  Gregory Slabaugh ,  Jason Tyan

发明人： Gozde Unal ,  Gregory Slabaugh ,  Jason Tyan

IPC分类号： G06K9/48 ,  G06K9/32 ,  A61B5/00

CPC分类号： G06K9/6206 ,  G06T7/12 ,  G06T7/149 ,  G06T7/344 ,  G06T2207/10072 ,  G06T2207/20104 ,  G06T2207/20116 ,  G06T2207/20161 ,  G06T2207/30004

摘要： A method for joint segmentation and registration of a contour for detecting an object in image data includes initializing a segmentation, initializing a registration of the segmentation, updating the segmentation and the registration, outputting an updated segmentation and an updated registration, wherein the updated segmentation and updated registration delineates the object in the image data.

摘要翻译： 用于联合分割和注册用于检测图像数据中的对象的轮廓的方法包括初始化分割，初始化分割的注册，更新分割和注册，输出更新的分割和更新的注册，其中更新的分割和 更新的注册表示图像数据中的对象。

公开(公告)号：US20050195185A1

公开(公告)日：2005-09-08

申请号：US11067151

申请日：2005-02-24

申请人： Gregory Slabaugh ,  Gozde Unal ,  Jason Tyan

发明人： Gregory Slabaugh ,  Gozde Unal ,  Jason Tyan

IPC分类号： G06T7/40 ,  G06T15/00 ,  G06T17/20

CPC分类号： G06K9/6207 ,  G06K9/00214

摘要： A method for three dimensional image segmentation of a volume of interest includes providing a three dimensional image of the volume of interest, providing an initial polyhedron having a plurality of mesh vertices within the three dimension image and determining an image-based speed at each vertex of the polyhedron using an ordinary differential equation (ODE) that describes the vertex motion of the polyhedron. The method further includes determining a regularization term at each vertex of the polyhedron, updating the plurality of mesh vertices of the polyhedron, integrating the image-based speed of each vertex over a face of the polyhedron, and determining an output polyhedron approximating a shape of the volume of interest.

摘要翻译： 用于感兴趣体积的三维图像分割的方法包括提供感兴趣体积的三维图像，提供在三维图像内具有多个网格顶点的初始多面体，并且确定每个顶点处的基于图像的速度 多面体使用描述多面体顶点运动的常微分方程（ODE）。 该方法还包括确定多面体的每个顶点处的正则化项，更新多面体的多个网格顶点，将多个顶点的每个顶点的基于图像的速度整合在多面体的面上，以及确定接近多面体的形状的输出多面体 感兴趣的数量。

公开(公告)号：US08135453B2

公开(公告)日：2012-03-13

申请号：US11558956

申请日：2006-11-13

申请人： Gregory G. Slabaugh ,  Jason Tyan

发明人： Gregory G. Slabaugh ,  Jason Tyan

IPC分类号： A61B6/00 ,  A61B8/00 ,  A61B8/14

CPC分类号： H04R25/658 ,  A61B5/0066 ,  A61B5/1076 ,  A61B5/1077 ,  A61B5/6817 ,  H04R25/652

摘要： A method and apparatus for generating a three dimensional representation of an ear canal are disclosed whereby an ear canal of a patient is imaged using optical coherence tomography (OCT). In a first embodiment, cross-section images of an ear canal are taken by, for example, rotating an OCT imaging sensor about a predetermined axis at each of a plurality of positions. In accordance with another embodiment, a contour line is then identified in each of the cross section images and a flow algorithm is used to identify the boundary of the ear canal cross section. Once the boundaries of each cross section have been identified, all of the cross section images are combined to generate a three dimensional image of the ear canal.

摘要翻译： 公开了一种用于产生耳道的三维表示的方法和装置，其中使用光学相干断层摄影（OCT）对患者的耳道进行成像。 在第一实施例中，耳道的横截面图像是通过例如在多个位置的每一个处围绕预定轴线旋转OCT成像传感器而获得的。 根据另一实施例，然后在每个截面图像中识别轮廓线，并且使用流动算法来识别耳道横截面的边界。 一旦已经识别出每个横截面的边界，则将所有横截面图像组合以产生耳道的三维图像。

公开(公告)号：US20070057942A1

公开(公告)日：2007-03-15

申请号：US11462856

申请日：2006-08-07

申请人： Gozde Unal ,  Alexander Zouhar ,  Gregory Slabaugh ,  Tong Fang ,  Jason Tyan ,  Rupen Melkisetoglu

发明人： Gozde Unal ,  Alexander Zouhar ,  Gregory Slabaugh ,  Tong Fang ,  Jason Tyan ,  Rupen Melkisetoglu

IPC分类号： G06F19/00 ,  G06T15/00

CPC分类号： H04R25/652 ,  G06K9/00214 ,  G06K9/00362 ,  G06T7/344 ,  G06T2200/04 ,  G06T2207/10028 ,  G06T2207/30004 ,  H04R2225/77

摘要： A method of designing hearing aid molds is disclosed whereby skeletons, o r simplified models, of two ear impressions are used to register the graphical representations of the molds to facilitate the joint design of hearing aid shells. The center points of at least a portion of contour lines on the surface of each ear impression are identified. Then, for each ear impression, by connecting these center points to each adjacent center point, a skeleton that represents a simplified model of an ear impression is generated. Vectors describing the distance and direction from the points of each skeleton to an anatomical feature of each ear impression are identified to obtain a correspondence between the points of each skeleton. Three-dimensional translations and rotations of a feature vector of at least one of the skeletons are determined to achieve alignment of the skeleton of one ear impression with the skeleton of another impression.

摘要翻译： 公开了一种设计助听器模具的方法，其中使用两个耳朵印模的简化模型的骨架来注册模具的图形表示以便于助听器外壳的联合设计。 识别每个耳朵印象的表面上的轮廓线的至少一部分的中心点。 然后，对于每个耳朵的印象，通过将这些中心点连接到每个相邻的中心点，生成表示耳朵印象的简化模型的骨架。 识别描述从每个骨骼的点到每个耳朵印象的解剖特征的距离和方向的向量以获得每个骨架的点之间的对应关系。 确定至少一个骨骼的特征向量的三维平移和旋转以实现一个耳朵的骨骼与另一个印象的骨骼的对准。

公开(公告)号：US20060078181A1

公开(公告)日：2006-04-13

申请号：US11229106

申请日：2005-09-16

申请人： Yunqiang Chen ,  Hongcheng Wang ,  Tong Fang ,  Jason Tyan

发明人： Yunqiang Chen ,  Hongcheng Wang ,  Tong Fang ,  Jason Tyan

IPC分类号： G06K9/00

CPC分类号： G06T5/002 ,  G06T5/50 ,  G06T2207/10081 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/20192 ,  G06T2207/30004

摘要： A method and system for improving image quality by compounding a plurality of images to mitigate the effects of image noise. The method utilizes the independency between noise components for multiple image compounding. An effective measurement is designed to regularize the independency between noise in a traditional generative model based filtering framework, thereby enabling a more robust algorithmic solution to inaccurate signal/noise modeling. The method generally comprises selecting a plurality of images, calculating the residual error on each image; calculating the noise likelihood of each image, calculating the signal likelihood of the image, performing an independence analysis to regularize an independence constraint between the residual errors of the images, and summing the signal likelihood, noise likelihood and pairwise independency to approximate the joint independency between the residual errors.

公开(公告)号：US20070189607A1

公开(公告)日：2007-08-16

申请号：US11548714

申请日：2006-10-12

申请人： Yunqiang Chen ,  Tong Fang ,  Jason Tyan

发明人： Yunqiang Chen ,  Tong Fang ,  Jason Tyan

IPC分类号： G06K9/48

CPC分类号： G06K9/46 ,  G06T7/73

摘要： A method of automatically detecting features in an image includes: designing a gradient detection filter and a line detection filter; applying the gradient detection filter and line detection filter to detect structures in an image; and estimating feature dimensionality and orientation of the detected structures in the image. The computation cost of gradient detection and line detection when applied on an image is a constant number of operations independent of the size of the gradient and line detection filters.

摘要翻译： 一种自动检测图像中的特征的方法包括：设计梯度检测滤波器和线路检测滤波器; 应用梯度检测滤波器和线检测滤波器来检测图像中的结构; 并且估计图像中检测到的结构的特征维度和取向。 应用于图像时梯度检测和线检测的计算成本是与梯度和线检测滤波器的大小无关的常数运算。

公开(公告)号：US20070058829A1

公开(公告)日：2007-03-15

申请号：US11462834

申请日：2006-08-07

申请人： Gozde Unal ,  Gregory Slabaugh ,  Tong Fang ,  Jason Tyan

发明人： Gozde Unal ,  Gregory Slabaugh ,  Tong Fang ,  Jason Tyan

IPC分类号： H04R25/00

CPC分类号： G06K9/00214 ,  G06T7/30 ,  G06T19/00 ,  G06T2207/30004 ,  H04R25/652 ,  H04R25/658 ,  H04R2225/77

摘要： A method for registering two three-dimensional shapes is disclosed whereby the two shapes are represented as zero level set of signed distance functions and the energy between these two functions is minimized. In a first embodiment two undetailed ear impression models are rigidly registered with each other. In another embodiment, a detailed ear impression is initially aligned with an undetailed ear impression model and, then, the detailed ear impression model is rigidly registered with the undetailed ear impression model as a function of said signed distance functions. In accordance with another embodiment, an undetailed ear impression model is non-rigidly registered with a template ear impression model as a function of said signed distance functions.

摘要翻译： 公开了一种用于记录两个三维形状的方法，其中两个形状被表示为有限距离函数的零级集合，并且这两个函数之间的能量被最小化。 在第一实施例中，两个未详细的耳朵印象模型彼此刚性地对齐。 在另一个实施例中，详细的耳朵印象最初与未详细的耳朵印象模型对准，然后，作为所述有符号距离函数的函数，详细的耳朵印象模型与未详细的耳朵印模模型刚性地注册。 根据另一个实施例，作为所述有符号距离函数的函数，未确定的耳朵印象模型与模板耳朵印模模型非刚性地对齐。