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    • 1. 发明申请
    • SYSTEM AND METHOD FOR SHUTTER DETECTION
    • 快速检测系统及方法
    • US20120275679A1
    • 2012-11-01
    • US13544573
    • 2012-07-09
    • Songyang YuVittorio AccomazziPaul Geiger
    • Songyang YuVittorio AccomazziPaul Geiger
    • G06T5/00
    • G06T5/005A61B6/5252G06T7/12G06T7/194G06T2207/10116G06T2207/20016G06T2207/30004
    • Methods, systems, and computer-readable medium for detecting and removing unwanted information in a medical image. One method includes receiving, at a processor, an image, obtained using a shutter including at least a first blade and a second blade. The method also includes processing the image to identify a first plurality of candidate edges in the image for the first blade and a second plurality of candidate edges in the image for the second blade. The method further includes individually evaluating each of the first and second plurality of candidate edges to select one of the first plurality of candidate edges as a true edge for the first blade and one of the second plurality of candidate edges as a true edge for the second blade. In addition, the method includes removing the unwanted information from the image based on a location of each of the identified true edges.
    • 用于检测和去除医学图像中的不需要的信息的方法,系统和计算机可读介质。 一种方法包括在处理器处接收使用包括至少第一叶片和第二叶片的快门获得的图像。 该方法还包括处理图像以识别用于第一叶片的图像中的第一多个候选边缘和用于第二叶片的图像中的第二多个候选边缘。 该方法还包括分别评估第一和第二多个候选边缘中的每一个,以选择第一多个候选边缘中的一个作为第一叶片的真实边缘,并且将第二多个候选边缘中的一个作为第二多个候选边缘的真实边缘 刀。 此外,该方法包括基于每个识别的真实边缘的位置从图像中去除不想要的信息。
    • 2. 发明申请
    • METHOD AND SYSTEM FOR ENHANCING DIGITAL IMAGES
    • 用于增强数字图像的方法和系统
    • US20080205785A1
    • 2008-08-28
    • US12118307
    • 2008-05-09
    • Paul GeigerVittorio Accomazzi
    • Paul GeigerVittorio Accomazzi
    • G06K9/40
    • G06T5/20G06T5/004G06T5/007G06T2207/20016G06T2207/20032G06T2207/20048G06T2207/30004
    • A system and method for enhancing digital images is described. A digital image is transformed into a series of decomposed images in frequency bands, or different resolution grids. A decomposed image is noise suppressed and contrast enhanced. Representative value of signal at each pixel is computed based on contributions to signals from pixels in a neighborhood of the pixel. Lookup tables are applied to pixel values to selectively enhance signal in a predetermined range of signal strength. Another set of lookup tables are applied to pixel values to suppress noise components contained therein. Optionally, operations are applied to decomposed images to suppress quantum noise, enhance object edges or enhance global contrast, among others. These decomposed images, after signal enhancement and noise suppression, are then recombined to result in an enhanced image.
    • 描述了用于增强数字图像的系统和方法。 数字图像被转换成频带中的一系列分解图像,或不同的分辨率网格。 分解图像被噪声抑制和对比度增强。 基于对来自像素附近的像素的信号的贡献来计算每个像素处的信号的代表值。 将查找表应用于像素值以选择性地增强信号强度的预定范围内的信号。 将另一组查找表应用于像素值以抑制其中包含的噪声分量。 可选地,将操作应用于分解的图像以抑制量子噪声,增强对象边缘或增强全局对比度等。 然后,在信号增强和噪声抑制之后,这些分解的图像被重新组合以产生增强的图像。
    • 4. 发明授权
    • System and method for shutter detection
    • 快门检测系统及方法
    • US08218879B2
    • 2012-07-10
    • US11857546
    • 2007-09-19
    • Songyang YuVittorio AccomazziPaul Geiger
    • Songyang YuVittorio AccomazziPaul Geiger
    • G06K9/48
    • G06T5/005A61B6/5252G06T7/12G06T7/194G06T2207/10116G06T2207/20016G06T2207/30004
    • A method for removing shutter areas in an image, in particular an x-ray image is provided. Edges are examined in a multi-resolution image pyramid and evaluated to determine potential shutter blade candidates defining the shutter areas. Heuristic rules and/or an automatic classifier such as a Neuronal Network, are applied to distinguish true shutter blades from false positives. The rule set and the classifier are based on a set of features extracted from the potential shutter blade candidates as well as predetermined knowledge of the expected placement of the shutter, human anatomy. Up to four shutter blades are expected to be detected and based on these blades, the bright areas in the image that occur due to the shutters are removed.
    • 提供了用于去除图像中的快门区域的方法,特别是X射线图像。 在多分辨率图像金字塔中检查边缘并进行评估以确定限定快门区域的潜在快门叶片候选。 应用启发式规则和/或自动分类器(如神经元网络)来区分真正的快门叶片与假阳性。 规则集和分类器基于从潜在的快门叶片候选中提取的一组特征以及对快门,人体解剖学的预期放置的预定知识。 预计最多可以检测到四个快门叶片,并且基于这些刀片,由于百叶窗而发生的图像中的明亮区域被去除。
    • 7. 发明授权
    • Method and system for enhancing digital images
    • 增强数字图像的方法和系统
    • US08594444B2
    • 2013-11-26
    • US12118307
    • 2008-05-09
    • Paul GeigerVittorio Accomazzi
    • Paul GeigerVittorio Accomazzi
    • G06K9/00
    • G06T5/20G06T5/004G06T5/007G06T2207/20016G06T2207/20032G06T2207/20048G06T2207/30004
    • A system and method for enhancing digital images is described. A digital image is transformed into a series of decomposed images in frequency bands, or different resolution grids. A decomposed image is noise suppressed and contrast enhanced. Representative value of signal at each pixel is computed based on contributions to signals from pixels in a neighborhood of the pixel. Lookup tables are applied to pixel values to selectively enhance signal in a predetermined range of signal strength. Another set of lookup tables are applied to pixel values to suppress noise components contained therein. Optionally, operations are applied to decomposed images to suppress quantum noise, enhance object edges or enhance global contrast, among others. These decomposed images, after signal enhancement and noise suppression, are then recombined to result in an enhanced image.
    • 描述了用于增强数字图像的系统和方法。 数字图像被转换成频带中的一系列分解图像,或不同的分辨率网格。 分解图像被噪声抑制和对比度增强。 基于对来自像素附近的像素的信号的贡献来计算每个像素处的信号的代表值。 将查找表应用于像素值以选择性地增强信号强度的预定范围内的信号。 将另一组查找表应用于像素值以抑制其中包含的噪声分量。 可选地,将操作应用于分解的图像以抑制量子噪声,增强对象边缘或增强全局对比度等。 然后,在信号增强和噪声抑制之后,这些分解的图像被重新组合以产生增强的图像。