Method and apparatus for fractal identification
    21.
    发明授权
    Method and apparatus for fractal identification 有权
    分形识别的方法和装置

    公开(公告)号:US09290010B2

    公开(公告)日:2016-03-22

    申请号:US13646634

    申请日:2012-10-05

    摘要: A method and system for applying and reading a fractal image to and from a plurality of objects to act as an identification label is provided. The system includes a printer for printing a fractal pattern to the plurality of objects and a reader for reading the printed fractal pattern. Such a fractal image is robust to printing and imaging difficulties and inconsistencies, and is difficult to copy, thus defending against counterfeiting.

    摘要翻译: 提供了一种用于向多个对象应用和读取分形图像以用作识别标签的方法和系统。 该系统包括用于将分形图案打印到多个对象的打印机和用于读取打印的分形图案的读取器。 这种分形图像对打印和成像难度和不一致性是稳健的,并且难以复制,从而防止假冒。

    Ready automated screening, diagnosis and classification technique for alzheimer's disease using magnetic resonance imaging signal from ventricular zone contour of brain
    24.
    发明授权
    Ready automated screening, diagnosis and classification technique for alzheimer's disease using magnetic resonance imaging signal from ventricular zone contour of brain 失效
    使用脑脑室区轮廓的磁共振成像信号,为阿尔茨海默病进行自动化筛选,诊断和分类技术

    公开(公告)号:US08577106B2

    公开(公告)日:2013-11-05

    申请号:US13133038

    申请日:2009-02-10

    IPC分类号: G06K9/00

    摘要: The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: —obtaining a gray scale MRI image of the brain region; —applying a contour edge-detecting algorithm to the image; —employing a grid covering method for calculating a first order metric index of ventricular zone contour; —superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares; —plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index.

    摘要翻译: 本发明涉及一种使用来自脑的心室区轮廓的磁共振成像信号的阿尔茨海默氏病的全自动化筛选,诊断和分类技术,以获得脑退化的基本指标,包括以下步骤: - 获得灰度级MRI图像 脑区 对图像应用轮廓边缘检测算法; - 采用网格覆盖方法计算心室区轮廓的一阶度量指标; 将二进制轮廓图像增加边缘长度的度量方格网格计数到公制网格正方形; 根据边缘长度的对数绘制度量网格方格的日志,其中曲线的梯度是线性拓扑度量指标。

    READY AUTOMATED SCREENING, DIAGNOSIS & CLASSIFICATION TECHNIQUE FOR ALZHEIMER'S DISEASE USING MAGNETIC RESONANCE IMAGING SIGNAL FROM VENTRICULAR ZONE CONTOUR OF BRAIN
    26.
    发明申请
    READY AUTOMATED SCREENING, DIAGNOSIS & CLASSIFICATION TECHNIQUE FOR ALZHEIMER'S DISEASE USING MAGNETIC RESONANCE IMAGING SIGNAL FROM VENTRICULAR ZONE CONTOUR OF BRAIN 失效
    使用磁共振成像信号从脑的静脉区域进行的ALZHEIMER病的自动筛选,诊断和分类技术

    公开(公告)号:US20110286650A1

    公开(公告)日:2011-11-24

    申请号:US13133038

    申请日:2009-02-10

    IPC分类号: G06K9/00

    摘要: The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: —obtaining a gray scale MRI image of the brain region; —applying a contour edge-detecting algorithm to the image; —employing a grid covering method for calculating a first order metric index of ventricular zone contour; —superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares; —plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index.

    摘要翻译: 本发明涉及一种使用来自脑的心室区轮廓的磁共振成像信号的阿尔茨海默氏病的全自动化筛选,诊断和分类技术,以获得脑退化的基本指标,包括以下步骤: - 获得灰度级MRI图像 脑区 对图像应用轮廓边缘检测算法; - 采用网格覆盖方法计算心室区轮廓的一阶度量指标; 将二进制轮廓图像增加边缘长度的度量方格网格计数到公制网格正方形; 根据边缘长度的对数绘制度量网格方格的日志,其中曲线的梯度是线性拓扑度量指标。

    IMAGE ANALYSIS DEVICE AND IMAGE ANALYSIS METHOD
    27.
    发明申请
    IMAGE ANALYSIS DEVICE AND IMAGE ANALYSIS METHOD 失效
    图像分析装置和图像分析方法

    公开(公告)号:US20090136125A1

    公开(公告)日:2009-05-28

    申请号:US11993980

    申请日:2006-06-27

    申请人: Ryujiro Fujita

    发明人: Ryujiro Fujita

    IPC分类号: G06K9/00 H04N7/18

    摘要: An image corresponding to image data obtained by imaging by a camera is divided into a plurality of image pieces and each of the image pieces is subjected to a color analysis process, a fractal dimension analysis process, and an artificial object amount recognition process. According to a combination of the results obtained by the three processes, a part of a landscape contained in each of the image pieces is classified and the entire characteristic of the landscape contained in the image is judged according to the classification result.

    摘要翻译: 对应于通过照相机成像获得的图像数据的图像被分割成多个图像,并且对每个图像片进行颜色分析处理,分形维数分析处理和人造物体量识别处理。 根据通过三个处理获得的结果的组合,对每个图像中包含的景观的一部分进行分类,并且根据分类结果判断包含在图像中的景观的整体特征。

    METHOD AND SYSTEM FOR OBJECT RECOGNITION USING FRACTAL MAPS
    28.
    发明申请
    METHOD AND SYSTEM FOR OBJECT RECOGNITION USING FRACTAL MAPS 失效
    使用分割图像对象识别的方法和系统

    公开(公告)号:US20080131026A1

    公开(公告)日:2008-06-05

    申请号:US12028934

    申请日:2008-02-11

    申请人: Joel M. RECHT

    发明人: Joel M. RECHT

    IPC分类号: G06K9/00

    摘要: A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map may be segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map may be compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

    摘要翻译: 公开了一种用于识别图像中的对象的方法,其中通过估计图像中每个像素的分形维数来生成图像的分形图。 可以通过阈值分割分形图并确定候选对象的位置。 可以将对应于在分形图中找到候选对象的相同位置的图像像素的像素值与阈值进行比较。 如果像素值大于阈值,则候选对象被识别为有效对象。

    IMPROVED METHODS OF CANCER DETECTION
    30.
    发明申请
    IMPROVED METHODS OF CANCER DETECTION 审中-公开
    改进的癌症检测方法

    公开(公告)号:US20160055636A1

    公开(公告)日:2016-02-25

    申请号:US14786366

    申请日:2014-04-23

    摘要: The present invention provides, among other things, methods of identifying cancerous or pre-cancerous tissue including providing a first region of tissue from a subject, calculating a roughness exponent for the first region of tissue, and comparing the roughness exponent of the first region of tissue to 0.5, wherein a difference of less than 0.2 between the roughness exponent of the first region of tissue and 0.5 indicates that the tissue is cancerous or pre-cancerous. Additionally, the present invention provides methods including providing a first view of a region of tissue, providing a second view of a region of tissue, calculating a first fractal dimension for the first view of the region of tissue, and calculating a second fractal dimension for the second view of the region of tissue, wherein if the fractal dimension of at least one of the first fractal dimension and the second fractal dimension is in the fractal zone, the region of tissue is considered cancerous. Also provided are systems for performing these assessments.

    摘要翻译: 本发明尤其提供了鉴定癌症或癌前组织的方法,包括提供来自受试者的组织的第一区域,计算组织的第一区域的粗糙度指数,并且比较第一区域的粗糙度指数 组织为0.5,其中在组织的第一区域的粗糙度指数之间小于0.2的差异指示组织是癌性的或癌前的。 另外,本发明提供了包括提供组织区域的第一视图,提供组织区域的第二视图,计算组织区域的第一视图的第一分形维数以及计算第二分形维数的方法, 组织区域的第二视图,其中如果第一分形维数和第二分形维数中的至少一个的分形维数在分形区域中,则组织区域被认为是癌性的。 还提供了执行这些评估的系统。