Processing a video for tidal chest volume estimation
    51.
    发明授权
    Processing a video for tidal chest volume estimation 有权
    处理潮汐胸部体积估计的视频

    公开(公告)号:US09226691B2

    公开(公告)日:2016-01-05

    申请号:US13486637

    申请日:2012-06-01

    Abstract: What is disclosed is a system and method for estimating tidal chest volume using 3D surface reconstruction based on an analysis of captured reflections of structured illumination patterns from the subject with a video camera. The imaging system hereof captures the reflection of the light patterns from a target area of the subject's thoracic region. The captured information produces a depth map and a volume is estimated from the resulting 3D map. The teachings hereof provide a non-contact approach to patient respiration monitoring that is particularly useful for infant care in a neo-natal intensive care unit (NICU), and can aid in the early detection of sudden deterioration of physiological condition due to detectable changes in respiratory function. The systems and methods disclosed herein provide an effective tool for tidal chest volume study and respiratory function analysis.

    Abstract translation: 所公开的是基于使用摄像机对来自被摄体的结构化照明图案的捕获反射的分析来使用3D表面重建来估计潮汐胸部体积的系统和方法。 其成像系统捕获来自受试者胸部区域的目标区域的光图案的反射。 捕获的信息产生一个深度图,并且从所得到的3D地图估计出一个体积。 本发明的教导提供了对新生儿重症监护病房(NICU)中的婴儿护理特别有用的患者呼吸监测的非接触方法,并且可以有助于早期发现由于可检测的变化引起的生理状态突然恶化 呼吸功能。 本文公开的系统和方法为潮汐胸部体积研究和呼吸功能分析提供了有效的工具。

    Contemporaneously reconstructing images captured of a scene illuminated with unstructured and structured illumination sources
    52.
    发明授权
    Contemporaneously reconstructing images captured of a scene illuminated with unstructured and structured illumination sources 有权
    同时重建用非结构化和结构化照明光源照亮的场景拍摄的图像

    公开(公告)号:US09141868B2

    公开(公告)日:2015-09-22

    申请号:US13533678

    申请日:2012-06-26

    Abstract: What is disclosed is system and method for contemporaneously reconstructing images of a scene illuminated with unstructured and structured illumination sources. In one embodiment, the system comprises capturing a first 2D image containing energy reflected from a scene being illuminated by a structured illumination source and a second 2D image containing energy reflected from the scene being illuminated by an unstructured illumination source. A controller effectuates a manipulation of the structured and unstructured illumination sources during capture of the video. A processor is configured to execute machine readable program instructions enabling the controller to manipulate the illumination sources, and for effectuating the contemporaneous reconstruction of a 2D intensity map of the scene using the second 2D image and of a 3D surface map of the scene using the first 2D image. The reconstruction is effectuated by manipulating the illumination sources.

    Abstract translation: 公开的是同时重建用非结构化和结构化照明源照明的场景的图像的系统和方法。 在一个实施例中,系统包括捕获包含由结构化照明源照亮的场景反射的能量的第一2D图像和包含由非结构化照明源照亮的场景反射的能量的第二2D图像。 在拍摄视频期间,控制器实现对结构化和非结构化照明源的操纵。 处理器被配置为执行机器可读程序指令,使得控制器能够操纵照明源,并且使用第二2D图像和场景的3D表面图使用第一图像来实现场景的2D强度地图的同时重建 2D图像。 通过操纵照明源来实现重建。

    Image indexed rendering of images for tuning images from single or multiple print engines
    53.
    发明授权
    Image indexed rendering of images for tuning images from single or multiple print engines 有权
    用于从单个或多个打印引擎调整图像的图像索引的图像渲染

    公开(公告)号:US09066054B2

    公开(公告)日:2015-06-23

    申请号:US12199392

    申请日:2008-08-27

    Abstract: A system and method for rendering an image provide for segmenting the image into a plurality of segments based on image content and, for each identified segment, identifying a rendering profile from a set of rendering profiles. The rendering profile may include a look up table for converting pixels from a first color space, such as a device independent color space, e.g., RGB, to second color space, such as a device dependent color space, e.g., CMYK. The identified rendering profile is applied to the respective segment and the segments to which the profiles have been applied are combined into a print job for rendering on print media by an associated color output device or otherwise output. The system allows different segments in the image to be processed through different rendering profiles most suited to the objects that the segments contain.

    Abstract translation: 用于渲染图像的系统和方法提供了基于图像内容将图像分割成多个片段,并且对于每个识别的片段,从一组渲染轮廓识别渲染轮廓。 呈现轮廓可以包括用于将来自第一颜色空间(例如,与设备无关的颜色空间,例如RGB)的像素转换为第二颜色空间(例如,依赖于设备的色彩空间,例如CMYK)的查找表。 所识别的呈现轮廓被应用于相应的段,并且将已经应用轮廓的段组合成打印作业,以通过相关联的颜色输出装置在打印介质上进行渲染或以其他方式输出。 该系统允许通过不同的渲染轮廓来处理图像中的不同片段,这些轮廓最适合片段包含的对象。

    Method for classifying a pixel of a hyperspectral image in a remote sensing application
    54.
    发明授权
    Method for classifying a pixel of a hyperspectral image in a remote sensing application 有权
    遥感应用中高光谱图像像素分类方法

    公开(公告)号:US09019358B2

    公开(公告)日:2015-04-28

    申请号:US13023310

    申请日:2011-02-08

    CPC classification number: G06K9/0063 G06K2009/00644

    Abstract: What is disclosed is a novel system and method for simultaneous spectral decomposition suitable for image object identification and categorization for scenes and objects under analysis. The present system captures different spectral planes simultaneously using a Fabry-Perot multi-filter grid each tuned to a specific wavelength. A method for classifying pixels in the captured image is provided. The present system and method finds its uses in a wide array of applications such as, for example, occupancy detection in a transportation management system and in medical imaging and diagnosis for healthcare management. The teachings hereof further find their uses in other applications where there is a need to capture a two dimensional view of a scene and decompose the scene into its spectral bands such that objects in the image can be appropriately identified.

    Abstract translation: 所公开的是一种用于同时频谱分解的新型系统和方法,适用于分析场景和物体的图像对象识别和分类。 本系统使用每个调谐到特定波长的法布里 - 珀罗多滤波器网格同时捕获不同的频谱平面。 提供了一种用于对拍摄图像中的像素进行分类的方法。 本系统和方法在广泛的应用中发现其用途,例如在运输管理系统中的占用检测以及用于医疗管理的医学成像和诊​​断。 其中的教导进一步发现它们在其他应用中的用途,其中需要捕获场景的二维视图并将场景分解为其光谱带,使得可以适当地识别图像中的对象。

    Minute ventilation estimation based on depth maps
    55.
    发明授权
    Minute ventilation estimation based on depth maps 有权
    基于深度图的分钟通气估计

    公开(公告)号:US08971985B2

    公开(公告)日:2015-03-03

    申请号:US13486682

    申请日:2012-06-01

    Abstract: What is disclosed is a system and method for estimating minute ventilation by analyzing distortions in reflections of structured illumination patterns captured in a video of a thoracic region of a subject of interest being monitored for respiratory function. Measurement readings can be acquired in a few seconds under a diverse set of lighting conditions and provide a non-contact approach to patient respiratory function that is particularly useful for infant care in an intensive care unit (ICU), sleep studies, and can aid in the early detection of sudden deterioration of physiological conditions due to detectable changes in chest volume. The systems and methods disclosed herein provide an effective tool for non-contact minute ventilation estimation and respiratory function analysis.

    Abstract translation: 所公开的是通过分析被监测用于呼吸功能的感兴趣受试者的胸部区域的视频中捕获的结构化照明模式的反射中的失真来估计每分钟通气的系统和方法。 测量读数可以在多种照明条件下几秒钟内获得,并提供对患者呼吸功能的非接触式方法,对重症监护室(ICU),睡眠研究中的婴儿护理特别有用,并且可以帮助 早期发现由于胸部体积可检测到的生理状况突然恶化。 本文公开的系统和方法提供了用于非接触式分钟通气估计和呼吸功能分析的有效工具。

    Generating an image profile LUT for a N-color marking device via multi-objective cost minimization
    56.
    发明授权
    Generating an image profile LUT for a N-color marking device via multi-objective cost minimization 有权
    通过多目标成本最小化生成N色标记设备的图像配置文件LUT

    公开(公告)号:US08928901B2

    公开(公告)日:2015-01-06

    申请号:US13351630

    申请日:2012-01-17

    CPC classification number: H04N1/52 H04N1/603

    Abstract: What is disclosed is a method for profile LUT construction which uses a cost function to provide improvements to one or more image quality attributes present in printed images while imposing constraints in terms of color accuracy and spectral response to achieve a color match under various illuminants. Image quality attributes are selected. A reference profile is selected. For each node, candidate recipes are found which reproduce L*a*b* colors within a threshold em. Recipes are pruned to a subset containing recipes where a spectral difference between a predicted spectra corresponding to N color levels and a reference reflectance spectra corresponding to a spectra of a recipe produced by the reference profile, is less than a threshold. A cost function is computed and a recipe identified which minimizes the cost for this node. The process repeats for all nodes to produce a new profile LUT.

    Abstract translation: 所公开的是用于轮廓LUT构造的方法,其使用成本函数来提供对印刷图像中存在的一个或多个图像质量属性的改进,同时在颜色精度和光谱响应方面施加约束以实现各种光源下的颜色匹配。 选择图像质量属性。 选择参考资料。 对于每个节点,找到在阈值em内再现L * a * b *颜色的候选配方。 将食谱修剪成包含配方的子集,其中对应于N个颜色级别的预测光谱与对应于由参考分布图产生的食谱的参考反射光谱之间的光谱差小于阈值。 计算成本函数,并确定最小化此节点成本的配方。 该过程重复所有节点以产生新的配置文件LUT。

    Estimating a visible vector representation for pixels in an infrared image
    57.
    发明授权
    Estimating a visible vector representation for pixels in an infrared image 有权
    估计红外图像中像素的可见向量表示

    公开(公告)号:US08810658B2

    公开(公告)日:2014-08-19

    申请号:US13364835

    申请日:2012-02-02

    Abstract: 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.

    Abstract translation: 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。

    Minimally invasive image-based determination of carbon dioxide (CO2) concentration in exhaled breath
    58.
    发明授权
    Minimally invasive image-based determination of carbon dioxide (CO2) concentration in exhaled breath 有权
    呼吸呼气中二氧化碳(CO2)浓度的微创图像测定

    公开(公告)号:US08715202B2

    公开(公告)日:2014-05-06

    申请号:US13246560

    申请日:2011-09-27

    Abstract: What is disclosed is a system and method for image-based determination of carbon dioxide (CO2) concentration in exhaled breath. In one embodiment, an image of the exhaled airstream of a subject of interest is received. The image is captured using a mid-wave infrared camera system having an optical filter tuned to the infrared absorption band of CO2. The image is preprocessed to isolate a region of pixels containing the exhaled airstream and intensity values of pixels in the identified region are normalized by a value of a known radiance such as that of the subject's nose or face. The image is analyzed to determine CO2 concentration levels of the exhaled airstream using a calibration curve which relates pixel intensity to CO2 concentrations. The calibration curve is derived using a physics-based parameterized model. The CO2 concentration levels are determined and communicated to a computer workstation. Various embodiments are disclosed.

    Abstract translation: 公开的是用于基于图像的测定呼出气中的二氧化碳(CO 2)浓度的系统和方法。 在一个实施例中,接收感兴趣对象的呼出气流的图像。 使用具有调谐到CO 2的红外吸收带的光学滤波器的中波红外相机系统捕获图像。 图像被预处理以隔离包含呼出气流的像素的区域,并且通过诸如被摄体的鼻子或脸部的已知辐射的值对识别的区域中的像素的强度值进行归一化。 使用将像素强度与CO2浓度相关联的校准曲线来分析图像以确定呼出气流的CO 2浓度水平。 使用基于物理的参数化模型导出校准曲线。 确定二氧化碳浓度水平并传送到计算机工作站。 公开了各种实施例。

    Controlling process color in a color adjustment system
    59.
    发明授权
    Controlling process color in a color adjustment system 有权
    控制颜色调整系统中的过程颜色

    公开(公告)号:US08693050B2

    公开(公告)日:2014-04-08

    申请号:US12536600

    申请日:2009-08-06

    CPC classification number: H04N1/6033 H04N1/40006

    Abstract: What is disclosed is a novel system and method for controlling process color in a color adjustment system in an image marking device. A control parameter, such as a gain matrix, forms a basis of an adaptive closed-loop controller. A sensitivity matrix is used to calculate the gain matrix. This permits complex color adjustments at a customer location. The present system and method is well suited for long production runs because, as the system moves (or drifts) away from nominal, the color control system will learn the changes in the system (e.g., new input-output sensitivity) with print, measure, and prediction processes, operating on the test patches, and effectively adapt to these changes by re-computing the feedback controller gains and revising the current actuator values to follow desired target color values. The present system and method can also be used for adjusting or developing a CMYK recipe in color management LUTs.

    Abstract translation: 所公开的是用于控制图像标记装置中的颜色调整系统中的处理颜色的新型系统和方法。 诸如增益矩阵的控制参数形成自适应闭环控制器的基础。 灵敏度矩阵用于计算增益矩阵。 这允许在客户位置进行复杂的颜色调整。 本系统和方法非常适合长时间的生产运行,因为随着系统从标称位移(或漂移)移动(或漂移),颜色控制系统将通过打印,测量来了解系统的变化(例如,新的输入 - 输出灵敏度) 以及在测试补丁上运行的预测过程,并且通过重新计算反馈控制器增益并修改当前致动器值以跟随期望的目标颜色值来有效地适应这些变化。 本系统和方法也可用于调整或开发色彩管理LUT中的CMYK配方。

    Pitch based high quantization halftone dot linearization for rendering high quality color images
    60.
    发明授权
    Pitch based high quantization halftone dot linearization for rendering high quality color images 有权
    基于间距的高量化半色调点线性化,用于渲染高质量彩色图像

    公开(公告)号:US08654402B2

    公开(公告)日:2014-02-18

    申请号:US12472689

    申请日:2009-05-27

    CPC classification number: G06K15/00 H04N1/52 H04N1/6027 H04N1/6033

    Abstract: A device, system, and method for reducing the pitch-to-pitch variation of color using pitch-based linearization of halftone screens are presented. A selection of images is printed at different pitches, and each image is measured and tracked with its pitch. Pitch-based TRCs are constructed using patches, which may be scheduled during print run or during machine diagnostic process and halftone dots are constructed and uploaded in the image path for each pitch. The updated dots are then used to produce a linearized halftone image for transfer to a print surface which results in improved color balance.

    Abstract translation: 提出了使用基于色调的网版线性化来减少颜色间距变化的装置,系统和方法。 以不同的间距打印图像的选择,并且每个图像被测量并用其间距进行跟踪。 基于间距的TRC使用补丁构建,其可以在打印运行期间或在机器诊断过程期间被调度,并且在每个间距的图像路径中构造并上传半色调点。 然后更新的点用于产生线性化的半色调图像以转印到打印表面,这导致改善的色彩平衡。

Patent Agency Ranking