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公开(公告)号：US09798712B2
公开(公告)日：2017-10-24
申请号：US13609541
申请日：2012-09-11
申请人： Beilei Xu , Stuart A. Schweid , Raja Bala , Rinku Gajera
发明人： Beilei Xu , Stuart A. Schweid , Raja Bala , Rinku Gajera
CPC分类号： G06F17/248 , G06F17/289
摘要： The present disclosure provides a method of producing a personalized medical record, comprising: sensing capabilities of a receiving device; retrieving stock information; retrieving personalized information; combining at least a portion of the stock information and at least a portion of the personalized information into the personalized record; formatting the personalized record based on a combination of the capabilities of the receiving device and a user's preference; and, transmitting the formatted personalized record to the device.
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公开(公告)号：US20140075295A1
公开(公告)日：2014-03-13
申请号：US13609541
申请日：2012-09-11
申请人： Beilei Xu , Stuart A. Schweid , Raja Bala , Rinku Gajera
发明人： Beilei Xu , Stuart A. Schweid , Raja Bala , Rinku Gajera
IPC分类号： G06F17/21
CPC分类号： G06F17/248 , G06F17/289
摘要： The present disclosure provides a method of producing a personalized medical record, comprising: sensing capabilities of a receiving device; retrieving stock information; retrieving personalized information; combining at least a portion of the stock information and at least a portion of the personalized information into the personalized record; formatting the personalized record based on a combination of the capabilities of the receiving device and a user's preference; and, transmitting the formatted personalized record to the device.
摘要翻译： 本公开提供了一种产生个性化医疗记录的方法，包括：感测接收设备的能力; 检索股票信息; 检索个性化信息; 将至少一部分股票信息和至少一部分个性化信息合并到个性化记录中; 基于接收设备的能力和用户偏好的组合来格式化个性化记录; 并将格式化的个性化记录发送到设备。
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公开(公告)号：US06947597B2
公开(公告)日：2005-09-20
申请号：US09965880
申请日：2001-09-28
申请人： Ying-wei Lin , Stuart A. Schweid , Jeng-nan Shiau , Raja Bala , Zhigang Fan
发明人： Ying-wei Lin , Stuart A. Schweid , Jeng-nan Shiau , Raja Bala , Zhigang Fan
CPC分类号： H04N1/40062 , G06K9/00456
摘要： A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R_L, R_U, and R_V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
摘要翻译： 一种用于图像处理的方法和系统，结合使用SGLD纹理（例如，方差，偏差，偏度和适应度）的自然图像和合成图像之间的图像分类，颜色离散性（例如，R_L，R_U和R_V归一化直方图 ）或边缘特征（例如，每个检测到的边缘的像素，水平边缘和垂直边缘）。 在另一个实施例中，提供了使用SGLD纹理，颜色离散性和边缘特征的组合的图片/图形分类器。 在另一个实施例中，提供了使用两（2）或更多SGLD纹理，颜色离散性和边缘特征的组合的“软”图像分类器。 “软”分类器使用图像特征来对图像，图形或模糊类中的输入图像的区域进行分类。
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公开(公告)号：US09171196B2
公开(公告)日：2015-10-27
申请号：US13416436
申请日：2012-03-09
申请人： Yao Rong Wang , Lalit Keshav Mestha , Beilei Xu , Raja Bala , Graham Pennington
发明人： Yao Rong Wang , Lalit Keshav Mestha , Beilei Xu , Raja Bala , Graham Pennington
CPC分类号： G06K9/00255 , G06K9/00838 , G06K9/2018 , H04N5/33
摘要： What is disclosed is a system and method for selecting the optimal wavelength ban combination for a multi-band infrared camera system which is optimized for skin detection. An objective function is constructed specifically for this application from classified performance and the algorithm generates wavelengths by maximizing the objective function. A specific wavelength band combination is selected which maximizes the objective function. Also disclosed is a 3-band and 4-band camera system with filters each having a transmittance of one of a combination of wavelength bands optimized to detect skin in the infrared band. The camera systems disclosed herein find their intended uses in a wide array of vehicle occupancy detection systems and applications. Various embodiments are disclosed.
摘要翻译： 公开的是用于为针对皮肤检测而优化的多频带红外相机系统选择最佳波长禁止组合的系统和方法。 目标函数由分类性能专门为此应用构建，算法通过最大化目标函数生成波长。 选择使目标函数最大化的特定波段组合。 还公开了一种具有滤波器的三频带和四频带相机系统，每个滤波器具有被优化以检测红外频带中的皮肤的波长带的组合之一的透射率。 本文公开的相机系统在各种车辆占用检测系统和应用中找到其预期用途。 公开了各种实施例。
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公开(公告)号：US20070053003A1
公开(公告)日：2007-03-08
申请号：US11218966
申请日：2005-09-02
申请人： Robert Loce , Beilei Xu , Raja Bala
发明人： Robert Loce , Beilei Xu , Raja Bala
IPC分类号： H04N1/405
CPC分类号： H04N1/60 , H04N1/40075
摘要： Aspects of color of a halftoned image are controlled or adjusted. A method for adjustment can include determining a color description of a color of an area or window associated with a target halftoned pixel, determining a desired adjustment to the color associated with the target pixel, determining a color change value based on the desired adjustment and the color description associated with the target pixel, combining the color change value with at least one value of the target halftoned pixel, thereby generating at least one combined target pixel value and quantizing the at least one combined target pixel value. For instance error diffusion and/or rank-ordered error diffusion is used to perform the quantization. Color adjustments can be based on user preference and/or calibration compensations between original and target devices.
摘要翻译： 控制或调整半色调图像的颜色方面。 一种用于调整的方法可以包括确定与目标半色调像素相关联的区域或窗口的颜色的颜色描述，确定与目标像素相关联的颜色的期望调整，基于期望的调整确定颜色变化值，以及 与目标像素相关联的颜色描述，将颜色变化值与目标半色调像素的至少一个值组合，从而生成至少一个组合目标像素值并量化至少一个组合目标像素值。 例如，误差扩散和/或等级有序误差扩散用于执行量化。 颜色调整可以基于原始设备和目标设备之间的用户偏好和/或校准补偿。
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6.发明授权公开(公告)号：US08810658B2
公开(公告)日：2014-08-19
申请号：US13364835
申请日：2012-02-02
申请人： Sandra Skaff , Raja Bala , Lalit Keshav Mestha , Beilei Xu
发明人： Sandra Skaff , Raja Bala , Lalit Keshav Mestha , Beilei Xu
IPC分类号： H04N5/33
摘要： What is disclosed is a system and method for estimating color for pixels in an infrared image. In one embodiment, an infrared image is received which has been captured using a N-band infrared imaging system comprising a multi-spectral camera or a hyperspectral camera. The IR image is composed of an array of pixels with N intensity values having been collected for each pixel in the image. Then, for each pixel of interest, a search metric is used to search a database of vector samples to identify a visible-IR set which is closest to the intensity values of the IR band vector collected for the pixel. A visible vector representation is then estimated for the pixel based upon the visible portion corresponding to the closest visible-IR set. Thereafter, color coordinates for this pixel are computed from the visible vector. The method repeats for all pixels of interest in the IR image.
摘要翻译： 公开的是用于估计红外图像中的像素的颜色的系统和方法。 在一个实施例中，接收使用包括多光谱相机或高光谱相机的N波段红外成像系统捕获的红外图像。 IR图像由对图像中的每个像素收集的具有N个强度值的像素阵列组成。 然后，对于感兴趣的每个像素，使用搜索度量来搜索向量样本的数据库，以识别最接近为该像素收集的IR带矢量的强度值的可见IR集合。 然后基于对应于最接近的可见IR集的可见部分，针对像素估计可见矢量表示。 此后，从可见矢量计算该像素的颜色坐标。 该方法针对IR图像中所有感兴趣的像素重复。
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公开(公告)号：US08049929B2
公开(公告)日：2011-11-01
申请号：US11218966
申请日：2005-09-02
申请人： Robert Paul Loce , Beilei Xu , Raja Bala
发明人： Robert Paul Loce , Beilei Xu , Raja Bala
CPC分类号： H04N1/60 , H04N1/40075
摘要： Aspects of color of a halftoned image are controlled or adjusted. A method for adjustment can include determining a color description of a color of an area or window associated with a target halftoned pixel, determining a desired adjustment to the color associated with the target pixel, determining a color change value based on the desired adjustment and the color description associated with the target pixel, combining the color change value with at least one value of the target halftoned pixel, thereby generating at least one combined target pixel value and quantizing the at least one combined target pixel value. For instance error diffusion and/or rank-ordered error diffusion is used to perform the quantization. Color adjustments can be based on user preference and/or calibration compensations between original and target devices.
摘要翻译： 控制或调整半色调图像的颜色方面。 一种用于调整的方法可以包括确定与目标半色调像素相关联的区域或窗口的颜色的颜色描述，确定与目标像素相关联的颜色的期望调整，基于期望的调整确定颜色变化值，以及 与目标像素相关联的颜色描述，将颜色变化值与目标半色调像素的至少一个值组合，从而生成至少一个组合目标像素值并量化至少一个组合目标像素值。 例如，误差扩散和/或等级有序误差扩散用于执行量化。 颜色调整可以基于原始设备和目标设备之间的用户偏好和/或校准补偿。
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8.发明授权Systems and methods for electronically auto-filing and retrieving reversible write eraseable paper documents 有权用于电子自动归档和检索可逆写入可擦除纸质文档的系统和方法公开(公告)号：US09213701B2
公开(公告)日：2015-12-15
申请号：US13094573
申请日：2011-04-26
申请人： Raja Bala , Francis K. Tse , George Cunha Cardoso , Tonya L. Love , Fritz F. Ebner , Michael R. Furst
发明人： Raja Bala , Francis K. Tse , George Cunha Cardoso , Tonya L. Love , Fritz F. Ebner , Michael R. Furst
CPC分类号： G06F17/30011
摘要： An embodiment generally relates to systems and methods for electronically auto-filing and retrieving erasable paper document documents configured for ultraviolet (UV) imaging. A device can automatically generate an electronic version of the erasable paper document and store the electronic version in a database. A user can search the database for the electronic version with identification information associated with the erasable paper document, upon which the systems and methods can retrieve the electronic version of the erasable paper document for the user. The electronic version of the erasable paper document can be re-rendered either as a new erasable paper document, for display to the user, or other renderings.
摘要翻译： 一个实施方案通常涉及用于电子自动归档和检索配置用于紫外线（UV）成像的可擦除纸质文件的系统和方法。 设备可以自动生成电子版本的可擦除纸质文档，并将电子版本存储在数据库中。 用户可以在数据库中搜索具有与可擦除纸质文档相关联的识别信息的电子版本，系统和方法可以在其上检索用户的可擦除纸质文档的电子版本。 可擦除纸质文档的电子版可以作为新的可擦除纸张文档重新呈现，以供显示给用户或其他渲染。
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9.发明授权Systems and methods for using machine readable codes to store and retrieve reversible write eraseable paper documents 有权使用机器可读代码存储和检索可逆写入可擦除纸质文档的系统和方法公开(公告)号：US09075803B2
公开(公告)日：2015-07-07
申请号：US13094516
申请日：2011-04-26
申请人： George Cunha Cardoso , Raja Bala , Tonya L. Love , Francis K. Tse , Fritz F. Ebner , Michael R. Furst
发明人： George Cunha Cardoso , Raja Bala , Tonya L. Love , Francis K. Tse , Fritz F. Ebner , Michael R. Furst
CPC分类号： G06F17/30011 , B41J3/4076 , B41M2205/18 , G03C11/02 , G06F17/30725
摘要： An embodiment generally relates to systems and methods for electronically auto-filing and retrieving erasable paper document documents configured for ultraviolet (UV) imaging. A device can embed a machine readable code on an erasable paper document, or can detect a machine readable code preprinted on the document. An electronic version of the erasable paper document along with the machine readable code can be stored in a database. When the machine readable code is later detected on a rendered document, the electronic version corresponding to the machine readable code can be retrieved from storage. The erasable paper document can be re-rendered using the retrieved electronic version either as a new erasable paper document, for display to the user, or other renderings.
摘要翻译： 一个实施方案通常涉及用于电子自动归档和检索配置用于紫外线（UV）成像的可擦除纸质文件的系统和方法。 设备可以将机器可读代码嵌入到可擦除的纸质文档上，或者可以检测预先印在文档上的机器可读代码。 可擦写纸文件的电子版本与机器可读代码可以存储在数据库中。 当随后在呈现的文档上检测到机器可读代码时，可以从存储器检索对应于机器可读代码的电子版本。 可以使用检索到的电子版本作为新的可擦除纸质文档来重新呈现可擦除的纸质文档，以供显示给用户或其他渲染。
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10.发明授权公开(公告)号：US09042640B2
公开(公告)日：2015-05-26
申请号：US13349751
申请日：2012-01-13
申请人： Raja Bala , Zhigang Fan , Hengzhou Ding , Jan P. Allebach , Charles A. Bouman , Reuven J. Sherwin
发明人： Raja Bala , Zhigang Fan , Hengzhou Ding , Jan P. Allebach , Charles A. Bouman , Reuven J. Sherwin
CPC分类号： G06K9/00671 , G06K9/3258
摘要： As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”
摘要翻译： 如本文所述，计算机实现的方法有助于预分析图像并且自动地向用户建议图像内的最合适的区域用于基于文本的个性化。 具有空间平滑的图像区域和具有现有文本的区域（例如标牌，横幅等）是用于个性化的主要候选者。 这产生了两组相应的算法：一种用于识别平滑区域，一种用于定位文本区域。 通过将图像划分成块并应用迭代组合策略来找到平滑区域，并且满足某些空间属性（例如，边界的大小，位置，形状）的那些区域被保留为有希望的候选者。 在一个实施例中，对用于定位文本区域的图像执行连接分量分析。 最后，基于图像中发现的平滑和文本区域，本文描述了几种替代方法，以得出“适合个性化”的总体度量。
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