公开(公告)号：US08134719B2

公开(公告)日：2012-03-13

申请号：US12727671

申请日：2010-03-19

Applicant: Rongguang Liang ,  Lawrence A. Ray

Inventor： Rongguang Liang ,  Lawrence A. Ray

IPC: G01B11/14 ,  G01B11/00

CPC classification number: G01B11/24 ,  A61B5/1077 ,  A61B5/4547 ,  A61C9/0053 ,  G01B11/25

Abstract: An apparatus for obtaining 3-D surface contour image data of a tooth has a double telecentric optical system disposed to form an image of the surface of the tooth onto an image detector array. A focus adjustment mechanism is actuable to adjust the position of either or both the double telecentric optical system and the image detector array along an optical axis to each of a sequence of focus positions. A control logic processor is in control signal communication with the focus adjustment mechanism to adjust focus position, and is in image data communication with the image detector array for receiving image data obtained by the image detector array and with a memory for storing the received image data corresponding to each of the sequence of focus positions. The control logic processor is further responsive to stored instructions for computing 3-D surface contour image data from the image data.

Abstract translation: 一种用于获得牙齿的3-D表面轮廓图像数据的装置具有双重远心光学系统，其设置成将牙齿表面的图像形成到图像检测器阵列上。 焦点调节机构是致动的，以将双远心光学系统和图像检测器阵列中的一个或两者沿着光轴的位置调整到一系列焦点位置。 控制逻辑处理器与焦点调整机构进行控制信号通信以调整对焦位置，并且与图像检测器阵列进行图像数据通信，用于接收由图像检测器阵列获得的图像数据和用于存储接收到的图像数据的存储器 对应于每个焦点位置序列。 控制逻辑处理器还响应于存储的指令，用于从图像数据计算3-D表面轮廓图像数据。

公开(公告)号：US07899228B2

公开(公告)日：2011-03-01

申请号：US11834243

申请日：2007-08-06

Applicant: Shoupu Chen ,  Daoxian Heidi Zhang ,  Yajie Sun ,  Yong Chu ,  Lawrence A. Ray ,  Yang Zheng ,  Yue Shen

Inventor： Shoupu Chen ,  Daoxian Heidi Zhang ,  Yajie Sun ,  Yong Chu ,  Lawrence A. Ray ,  Yang Zheng ,  Yue Shen

IPC: G06K9/00 ,  A61B6/00

CPC classification number: G06T7/0012 ,  G06T2207/10116 ,  G06T2207/30068

Abstract: A method for image linear structure detection in medical imaging. The method includes locating microcalcification (mcc) candidate spots in a mammographic image; forming candidate clusters; assigning ranks to the candidate clusters; identifying linear structures in the neighborhood where the candidate clusters reside; and altering the ranks of the candidate clusters for which linear structures have been identified in the neighborhood.

Abstract translation: 一种医学成像中图像线性结构检测的方法。 该方法包括在乳房X光照相图像中定位微钙化（mcc）候选斑点; 形成候选聚类; 将等级分配给候选集群; 识别候选集群所在的邻域中的线性结构; 并改变邻域中已经识别出线性结构的候选聚类的行列。

公开(公告)号：US07623690B2

公开(公告)日：2009-11-24

申请号：US10812785

申请日：2004-03-30

Applicant: Nathan D. Cahill ,  Marvin M. Goodgame ,  Shoupu Chen ,  Lawrence A. Ray

Inventor： Nathan D. Cahill ,  Marvin M. Goodgame ,  Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00 ,  A61B5/05

CPC classification number: G06F17/30247 ,  G06F19/321 ,  G06K9/209 ,  G06K2209/051 ,  G06K2209/27 ,  G06T7/70 ,  G06T2207/30028 ,  G16H50/20

Abstract: A system for identifying anatomical structure depicted in an in vivo image, that includes an examination bundlette having a captured in vivo image; and a gastrointestinal atlas that includes a list of individual anatomical structures and characterization data of the individual anatomical structures. A classification engine analyzes the examination bundlette and the gastrointestinal atlas to identify the anatomical structure depicted in the captured in vivo image.

Abstract translation: 一种用于识别在体内图像中描绘的解剖结构的系统，其包括具有捕获的体内图像的检查束带; 以及包括个体解剖结构和个体解剖结构的表征数据的列表的胃肠图谱。 分类引擎分析检查小组和胃肠图谱以鉴定捕获的体内图像中描绘的解剖结构。

公开(公告)号：US07583294B2

公开(公告)日：2009-09-01

申请号：US11122593

申请日：2005-05-05

Applicant: Lawrence A. Ray ,  Henry Nicponski

Inventor： Lawrence A. Ray ,  Henry Nicponski

IPC: H04N5/228

CPC classification number: H04N5/23212 ,  G06K9/00228 ,  G06K9/00234 ,  G06K9/00248 ,  H04N5/23219 ,  H04N5/23222 ,  H04N5/235 ,  H04N5/772 ,  H04N2101/00

Abstract: A method for determining the presence of a face from image data utilizes at least first and second algorithms. The first algorithm prescreens the image data, by determining a plurality of face candidates utilizing a pattern matching technique that identifies image windows likely to contain faces based on color and shape information. The second algorithm processes the face candidates determined by the first algorithm, and uses a posterior probability function classifier to determine the presence of the face.

Abstract translation: 用于从图像数据确定面部存在的方法至少使用第一和第二算法。 第一种算法通过使用识别基于颜色和形状信息识别可能包含面部的图像窗口的图案匹配技术来确定多个面部候选来对图像数据进行预分屏。 第二算法处理由第一算法确定的面部候选，并使用后验概率函数分类器来确定面部的存在。

公开(公告)号：US20090185731A1

公开(公告)日：2009-07-23

申请号：US12018247

申请日：2008-01-23

Applicant: Lawrence A. Ray ,  Richard A. Simon ,  Henry Nicponski ,  Edward B. Gindele

Inventor： Lawrence A. Ray ,  Richard A. Simon ,  Henry Nicponski ,  Edward B. Gindele

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T7/162 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20101 ,  G06T2207/30061 ,  G06T2207/30101 ,  Y10S128/92 ,  Y10S128/922 ,  Y10S128/923

Abstract: A method and a system are disclosed for labeling an anatomical point associated with a lesion in an organ such as a lung. The method includes: a segmentation of a vessel tree anatomical structure starting from an autonomously determined initial image point; labeling the vessel segments of the vessel tree segmentation with segment labels based on a priori anatomical knowledge, thereby creating an individualized anatomical model; receiving a user-specified image point having a location from a user and locating a nearby vessel structure; tracking along the vessel structure in a direction towards a root of a parent vessel tree until a prior labeled vessel segment is encountered in the anatomical model, and assigning the label of the encountered prior labeled vessel segment from the anatomical model as an anatomical location label of the user-specified image point.

Abstract translation: 公开了用于标记与诸如肺的器官中的病变相关联的解剖点的方法和系统。 该方法包括：从自主确定的初始图像点开始的血管树解剖结构的分割; 基于先验解剖知识，用分段标签对血管树分割的血管分段进行标记，由此创建个体化解剖模型; 从用户接收具有位置的用户指定的图像点并定位附近的血管结构; 沿着血管结构沿着母体血管树的根部的方向跟踪，直到在解剖模型中遇到先前标记的血管区段，并且将解剖模型中遇到的先前标记的血管区段的标签分配为解剖学位置标签 用户指定的图像点。

公开(公告)号：US07508961B2

公开(公告)日：2009-03-24

申请号：US10387079

申请日：2003-03-12

Applicant: Shoupu Chen ,  Henry Nicponski ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Henry Nicponski ,  Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06K9/6292 ,  G06K9/00234 ,  G06K9/4614 ,  G06K9/6256

Abstract: A digital image processing method for detecting faces in a digital color image comprises the steps of: providing a distributed face detection system having complementary classifiers, wherein the classifiers are complementary in a frequency domain; selecting classifier parameters for the complementary classifiers from a plurality of different parameter generating sources, at least one of which is controllable by human input; reconfiguring the complementary classifiers in the distributed face detection system according to the selected classifier parameters; and detecting faces using the distributed face detection system.

Abstract translation: 一种用于检测数字彩色图像中的面部的数字图像处理方法包括以下步骤：提供具有互补分类器的分布式面部检测系统，其中分类器在频域中互补; 从多个不同的参数生成源中选择用于互补分类器的分类器参数，其中至少一个可由人输入控制; 根据选择的分类器参数重新配置分布式面部检测系统中的互补分类器; 并使用分布式面部检测系统检测面部。

公开(公告)号：US07382903B2

公开(公告)日：2008-06-03

申请号：US10717157

申请日：2003-11-19

Applicant: Lawrence A. Ray

Inventor： Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06F17/30256

Abstract: A method for selecting an emphasis image from a collection of images based on facial identification comprises the steps of: (a) obtaining a collection of digital images; (b) detecting image patterns indicative of the presence of one or more faces in the digital images, thereby identifying one or more detected faces for each image in which a face is detected; (c) recognizing one or more faces from the detected faces for each of the images in which a face is detected; and (d) scoring an image based on the relative frequency of occurrence of a recognized face within the collection of images, thereby producing an emphasis image characteristic of the most frequently occurring face in the collection of images.

Abstract translation: 基于面部识别从图像集合中选择强调图像的方法包括以下步骤：（a）获得数字图像的集合; （b）检测指示数字图像中一个或多个面部的存在的图像图案，从而识别检测到脸部的每个图像的一个或多个检测到的面部; （c）从检测到的脸部识别出面部被检测到的每个图像的一个或多个面部; 以及（d）基于图像集合内识别的面部的出现的相对频率对图像进行评分，由此产生图像集合中最常出现的面部的强调图像特征。

公开(公告)号：US07162102B2

公开(公告)日：2007-01-09

申请号：US10025357

申请日：2001-12-19

Applicant: Nathan D. Cahill ,  Lawrence A. Ray

Inventor： Nathan D. Cahill ,  Lawrence A. Ray

IPC: G06K9/36

CPC classification number: G06T3/4038 ,  G06T3/00 ,  G06T5/50 ,  G06T11/00 ,  H04N1/3872

Abstract: A method for producing a cropped digital image, includes the steps of: providing a plurality of partially overlapping source digital images; providing a cropping aspect ratio L:H, the cropping aspect ratio being the ratio of the length to the height of the cropped digital image; providing a cropping criterion, the cropping criterion being a criterion for the size and location of the cropped digital image; combining the source digital images to form a composite digital image; selecting the cropping region of the composite digital image according to the cropping criterion, said cropping region being a rectangular region having aspect ratio L:H, and having size and location determined by the cropping criterion; and, cropping the composite digital image to the cropping region to form a cropped digital image.

Abstract translation: 一种用于产生裁剪数字图像的方法，包括以下步骤：提供多个部分重叠的源数字图像; 提供裁剪长宽比L：H，裁剪长宽比是剪切数字图像的长度与高度的比率; 提供裁剪标准，裁剪标准是裁剪数字图像的大小和位置的标准; 组合源数字图像以形成复合数字图像; 根据切割标准选择复合数字图像的裁剪区域，所述裁剪区域是具有纵横比L：H的矩形区域，并且具有由裁剪标准确定的尺寸和位置; 并将复合数字图像裁剪到裁剪区域以形成裁剪的数字图像。

公开(公告)号：US07031494B2

公开(公告)日：2006-04-18

申请号：US10178257

申请日：2002-06-24

Applicant: Lawrence A. Ray ,  Rajan L. Joshi ,  Gene E. Pios

Inventor： Lawrence A. Ray ,  Rajan L. Joshi ,  Gene E. Pios

IPC: G06K9/00 ,  H04Q1/00

CPC classification number: G06T1/0035 ,  G06T2201/0051 ,  G06T2201/0052 ,  G06T2201/0053 ,  G06T2201/0061

Abstract: A method for securely transacting a transaction based on a transaction document having an image contained within the document, the method includes the steps of compressing an image on the document; scrambling the structure of the compressed image according to a permutation; obtaining the inverse permutation; applying the inverse permutation to the scrambled image for obtaining an unscrambled image; and decompressing the unscrambled image.

公开(公告)号：US06940545B1

公开(公告)日：2005-09-06

申请号：US09514436

申请日：2000-02-28

Applicant: Lawrence A. Ray ,  Henry Nicponski

Inventor： Lawrence A. Ray ,  Henry Nicponski

IPC: G03B19/02 ,  G03B17/24 ,  G03B17/48 ,  G06K9/00 ,  G06T1/00 ,  G06T7/00 ,  H04N5/225 ,  H04N5/907 ,  H04N101/00 ,  H04N9/04 ,  G06K9/36 ,  H04N5/228

CPC classification number: H04N5/23212 ,  G06K9/00228 ,  G06K9/00234 ,  G06K9/00248 ,  H04N5/23219 ,  H04N5/23222 ,  H04N5/235 ,  H04N5/772 ,  H04N2101/00

Abstract: A method for determining the presence of a face from image data includes a face detection algorithm having two separate algorithmic steps: a first step of prescreening image data with a first component of the algorithm to find one or more face candidate regions of the image based on a comparison between facial shape models and facial probabilities assigned to image pixels within the region; and a second step of operating on the face candidate regions with a second component of the algorithm using a pattern matching technique to examine each face candidate region of the image and thereby confirm a facial presence in the region, whereby the combination of these components provides higher performance in terms of detection levels than either component individually. In a camera implementation, a digital camera includes an algorithm memory for storing an algorithm comprised of the aforementioned first and second components and an electronic processing section for processing the image data together with the algorithm for determining the presence of one or more faces in the scene. Facial data indicating the presence of faces may be used to control, e.g., exposure parameters of the capture of an image, or to produce processed image data that relates, e.g., color balance, to the presence of faces in the image, or the facial data may be stored together with the image data on a storage medium.

Abstract translation: 一种用于从图像数据确定面部存在的方法包括具有两个单独的算法步骤的面部检测算法：第一步骤，用算法的第一分量对图像数据进行预筛选，以基于以下步骤找到图像的一个或多个面部候选区域： 面部形状模型与分配给该区域内的图像像素的面部概率之间的比较; 以及第二步骤，利用模式匹配技术利用算法的第二分量对面部候选区域进行操作，以检查图像的每个面部候选区域，从而确认该区域中的面部存在，由此这些组件的组合提供更高的 检测水平比任何一个成分单独表现。 在相机实现中，数码相机包括用于存储由前述第一和第二组件组成的算法的算法存储器和用于处理图像数据的电子处理部分以及用于确定场景中一个或多个面部的存在的算法 。 可以使用表示面部存在的面部数据来控制，例如，图像的拍摄的曝光参数，或者产生与例如颜色平衡相关的经处理的图像数据到图像中的面部的面部，或面部 数据可以与图像数据一起存储在存储介质上。