METHODS AND SYSTEMS FOR DIGITALLY ENHANCING AN IMAGE OF A STAINED MATERIAL
    1.
    发明申请
    METHODS AND SYSTEMS FOR DIGITALLY ENHANCING AN IMAGE OF A STAINED MATERIAL 有权
    用于数字增强不均匀材料图像的方法和系统

    公开(公告)号:US20110026803A1

    公开(公告)日:2011-02-03

    申请号:US12533406

    申请日:2009-07-31

    IPC分类号: G06K9/00

    摘要: Methods and systems for digitally enhancing an initial image of a material to which a plurality of stains were previously applied, that generally comprise: unmixing the image into a plurality of individual reconstructed images, each individual image corresponding to one of the stains; estimating a residual image corresponding to the difference between the original image and the reconstructed images; adjusting one or more components of the individual images; mixing the adjusted components using one or more estimated mixing coefficients; and adding the residual image to the mixed adjusted components to generate an enhanced image.

    摘要翻译: 用于数字增强先前施加多个污渍的材料的初始图像的方法和系统,其通常包括:将图像混合成多个单独的重建图像,每个单独图像对应于一个污渍; 估计对应于原始图像和重建图像之间的差的残差图像; 调整各个图像的一个或多个分量; 使用一个或多个估计的混合系数混合调整的组分; 并且将残差图像添加到混合调整的分量以产生增强图像。

    Methods and systems for digitally enhancing an image of a stained material
    2.
    发明授权
    Methods and systems for digitally enhancing an image of a stained material 有权
    用于数字增强染色材料图像的方法和系统

    公开(公告)号:US08948488B2

    公开(公告)日:2015-02-03

    申请号:US12533406

    申请日:2009-07-31

    IPC分类号: G06K9/00 G06T5/00

    摘要: Methods and systems for digitally enhancing an initial image of a material to which a plurality of stains were previously applied, that generally comprise: unmixing the image into a plurality of individual reconstructed images, each individual image corresponding to one of the stains; estimating a residual image corresponding to the difference between the original image and the reconstructed images; adjusting one or more components of the individual images; mixing the adjusted components using one or more estimated mixing coefficients; and adding the residual image to the mixed adjusted components to generate an enhanced image.

    摘要翻译: 用于数字增强先前施加多个污渍的材料的初始图像的方法和系统,其通常包括:将图像混合成多个单独的重建图像,每个单独的图像对应于一个污渍; 估计对应于原始图像和重建图像之间的差的残差图像; 调整各个图像的一个或多个分量; 使用一个或多个估计的混合系数混合调整的组分; 并将残差图像添加到混合调整的分量以产生增强图像。

    SYSTEM AND METHOD FOR THE QUANTITATIVE ASSESSMENT OF DIGITAL HISTOLOGY IMAGES
    3.
    发明申请
    SYSTEM AND METHOD FOR THE QUANTITATIVE ASSESSMENT OF DIGITAL HISTOLOGY IMAGES 审中-公开
    数字化学图像定量评估系统与方法

    公开(公告)号:US20110075914A1

    公开(公告)日:2011-03-31

    申请号:US12571158

    申请日:2009-09-30

    IPC分类号: G06K9/00

    摘要: The present disclosure concerns a method and system for assessing image quality of sub-images used to form a composite image using an algorithm developed by applying statistical correlation techniques to historical data on features of sub-images which were manually evaluated by experts and using those assessment to make decisions about the further processing of the sub-images which are being assessed. The method and system find particular value in the processing of sub-images generated while there is relative motion between the specimen under examination and the objective lens of a microscope such as when the microscope stage follows a planned traverse in the focal plane and a digital image is created at intervals correlated to the motion of the stage so that a region of interest in the specimen under examination is covered by the sub-images. The further processing decisions include manually examining the sub-images assessed to have unacceptable image quality, reimaging the entire region of interest and recreating specific sub-images. The method and system may also involve overlaying portions of a composite image with an indication that they were drawn from sub-images of unacceptable image quality.

    摘要翻译: 本公开涉及一种用于评估用于形成合成图像的子图像的图像质量的方法和系统,该方法和系统使用通过将统计相关技术应用于由专家手动评估的子图像的特征的历史数据而开发的算法,并使用这些评估 做出关于正在评估的子图像的进一步处理的决定。 该方法和系统在检查中的样本与显微镜的物镜之间产生的子图像的处理中发现特定的值,例如当显微镜载物台在焦平面上进行计划的横越时,以及数字图像 以与舞台的运动相关的间隔创建,使得被检查的样本中的感兴趣区域被子图像覆盖。 进一步的处理决定包括手动检查评估为具有不可接受的图像质量的子图像,重新映像整个感兴趣区域并重新创建特定子图像。 该方法和系统还可以包括将合成图像的部分重叠,并显示它们是从不可接受的图像质量的子图像中提取的。

    System and method for detecting and eliminating one or more defocused or low contrast-to-noise ratio images
    4.
    发明授权
    System and method for detecting and eliminating one or more defocused or low contrast-to-noise ratio images 有权
    用于检测和消除一个或多个散焦或低对比度噪声比图像的系统和方法

    公开(公告)号:US08588503B2

    公开(公告)日:2013-11-19

    申请号:US12993180

    申请日:2009-05-29

    IPC分类号: G06K9/00 G06K9/78

    摘要: This invention, which provides a method for detecting a corruption in an image acquired from a biological sample, includes: providing at least one image of at least one cell; generating the image of the at least one cell over a period of time; determining if the at least one image of the at least one cell is corrupted; applying a wavelet transform, Fourier transform, or other frequency decomposing transform to the at least one image to decompose the at least one image into a plurality of sub-images, wherein the plurality of sub-images have a plurality of low frequency channels, a plurality of middle frequency channels and a plurality of high frequency channels; calculating a ratio based on an energy level of the plurality of low frequency channels and the plurality of middle frequency channels; and removing the at least one image of at least one cell if the at least one image is corrupted.

    摘要翻译: 本发明提供一种用于检测从生物样品获得的图像中的破坏的方法,包括:提供至少一个单元的至少一个图像; 在一段时间内产生所述至少一个小区的图像; 确定所述至少一个小区的所述至少一个图像是否被破坏; 对所述至少一个图像应用小波变换,傅里叶变换或其他频率分解变换,以将所述至少一个图像分解为多个子图像,其中所述多个子图像具有多个低频信道, 多个中频信道和多个高频信道; 基于所述多个低频信道和所述多个中频信道的能级计算比率; 以及如果所述至少一个图像被破坏,则移除所述至少一个单元的所述至少一个图像。

    SYSTEM AND METHOD FOR DETECTING AND ELIMINATING ONE OR MORE DEFOCUSED OR LOW CONTRAST-TO-NOISE RATIO IMAGES
    5.
    发明申请
    SYSTEM AND METHOD FOR DETECTING AND ELIMINATING ONE OR MORE DEFOCUSED OR LOW CONTRAST-TO-NOISE RATIO IMAGES 有权
    用于检测和消除一个或多个偏差或低对比度噪声比例图像的系统和方法

    公开(公告)号:US20110069905A1

    公开(公告)日:2011-03-24

    申请号:US12993180

    申请日:2009-05-29

    IPC分类号: G06K9/36

    摘要: This invention, which provides a method for detecting a corruption in an image acquired from a biological sample, includes: providing at least one image of at least one cell; generating the image of the at least one cell over a period of time; determining if the at least one image of the at least one cell is corrupted; applying a wavelet transform, Fourier transform, or other frequency decomposing transform to the at least one image to decompose the at least one image into a plurality of sub-images, wherein the plurality of sub-images have a plurality of low frequency channels, a plurality of middle frequency channels and a plurality of high frequency channels; calculating a ratio based on an energy level of the plurality of low frequency channels and the plurality of middle frequency channels; and removing the at least one image of at least one cell if the at least one image is corrupted.

    摘要翻译: 本发明提供一种用于检测从生物样品获得的图像中的破坏的方法,包括:提供至少一个单元的至少一个图像; 在一段时间内产生所述至少一个小区的图像; 确定所述至少一个小区的所述至少一个图像是否被破坏; 对所述至少一个图像应用小波变换,傅里叶变换或其他频率分解变换,以将所述至少一个图像分解为多个子图像,其中所述多个子图像具有多个低频信道, 多个中频信道和多个高频信道; 基于所述多个低频信道和所述多个中频信道的能级计算比率; 以及如果所述至少一个图像被破坏,则移除所述至少一个单元的所述至少一个图像。

    Method and system for crowd segmentation
    9.
    发明申请
    Method and system for crowd segmentation 有权
    人群分割的方法和系统

    公开(公告)号:US20090310862A1

    公开(公告)日:2009-12-17

    申请号:US12457543

    申请日:2009-06-15

    IPC分类号: G06K9/34

    CPC分类号: G06K9/00778

    摘要: Aspects of the disclosure provide a method for crowd segmentation that can globally optimize crowd segmentation of an input image based on local information of the input image. The method can include receiving an input image of a site, initializing a plurality of hypothesis based on the input image, dividing the input image into a plurality of patches, calculating an affinity measure of one or more patches to a hypothesis based on a partial response of the patches to a whole body classifier of the hypothesis that includes a combination of weak classifiers, and optimizing assignments of the plurality of patches to the plurality of hypothesis based on the affinity measures of the plurality of patches to the plurality of hypothesis.

    摘要翻译: 本公开的方面提供了一种用于人群分割的方法,其可以基于输入图像的本地信息全局地优化输入图像的群体分割。 该方法可以包括接收站点的输入图像,基于输入图像初始化多个假设,将输入图像划分成多个补丁,基于部分响应计算假设的一个或多个补丁的亲和度量 所述补丁包括所述假定的全身分类器,所述假设包括弱分类器的组合,以及基于所述多个假设的所述多个贴片的亲和度测量,将所述多个贴片的分配优化为所述多个假设。

    AUTOMATIC CHARACTERIZATION OF CELLULAR MOTION
    10.
    发明申请
    AUTOMATIC CHARACTERIZATION OF CELLULAR MOTION 有权
    细胞运动的自动表征

    公开(公告)号:US20080304732A1

    公开(公告)日:2008-12-11

    申请号:US11758531

    申请日:2007-06-05

    IPC分类号: G01N33/48 G06K9/00

    摘要: The present techniques provide for the evaluation of cellular motion and/or cellular properties based on an analysis of motion. In an exemplary technique, images of one or more cells are acquired and motion data for the one or more cells is derived from the images. The motion data is decomposed to generate one or more motion components. The one or more motion components can be used to evaluate cellular properties and/or cellular motion properties.

    摘要翻译: 本技术基于运动分析提供了细胞运动和/或细胞特性的评估。 在示例性技术中,获取一个或多个单元的图像,并且从该图像导出一个或多个单元的运动数据。 运动数据被分解以产生一个或多个运动分量。 一个或多个运动分量可用于评估细胞特性和/或细胞运动特性。