SPECTRAL BIO-IMAGING DATA FOR CELL CLASSIFICATION USING INTERNAL REFERENCE
    1.
    发明申请
    SPECTRAL BIO-IMAGING DATA FOR CELL CLASSIFICATION USING INTERNAL REFERENCE 审中-公开
    使用内部参考的细胞分类的光谱生物显影数据

    公开(公告)号:WO00017808A1

    公开(公告)日:2000-03-30

    申请号:PCT/US1999/020636

    申请日:1999-09-10

    Abstract: A method of spectral-morphometric analysis of biological samples, the biological samples including substantially constant components and suspected variable components, the method is effected by the following the steps of (a) using a spectral data collection device for collecting spectral data of picture elements of the biological samples; (b) defining a spectral vector associated with picture elements representing a constant component of at least one of the biological samples; (c) using said spectral vector for defining a correcting function being selected such that when operated on spectral vectors associated with picture elements representing other constant components, spectral vectors of said other constant components are modified to substantially resemble said spectral vector; (d) operating said correcting function on spectral associated with at least the variable components for obtaining corrected spectral vectors thereof; and (e) classifying said corrected spectral vectors into classification groups.

    Abstract translation: 生物样品的光谱 - 形态测定分析方法,生物样品包括基本上不变的组分和可疑的可变成分,该方法通过以下步骤来实现:(a)使用光谱数据采集装置收集图像元素的光谱数据 生物样品; (b)定义与表示至少一个生物样品的恒定分量的图像元素相关联的光谱矢量; (c)使用所述谱矢量来定义正被选择的校正函数,使得当与表示其他恒定分量的像素相关联的频谱矢量操作时,所述其他常数分量的谱矢量被修改为基本上类似于所述谱矢量; (d)对与至少可变分量相关联的光谱操作所述校正函数,以获得其校正的光谱向量; 和(e)将所述校正的光谱向量分类到分类组中。

    METHOD FOR REMOTE SENSING ANALYSIS BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFOR
    2.
    发明申请
    METHOD FOR REMOTE SENSING ANALYSIS BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFOR 审中-公开
    通过装饰统计分析及其硬件进行远程感测分析的方法

    公开(公告)号:WO9901843A9

    公开(公告)日:1999-04-15

    申请号:PCT/US9813524

    申请日:1998-06-29

    Inventor: CABIB DARIO

    Abstract: A method for remote scenes classification comprising the steps of (a) preparing a reference template for classification of the remote scenes via (i) classifying a set of reference scenes via a conventional classification technique for obtaining a set of preclassified reference scenes; (ii) using a first spectral imager for measuring a spectral cube of the preclassified reference scenes; (iii) employing a principal component analysis for extracting the spectral cube for decorrelated spectral data characterizing the reference scenes; and (iv) using at least a part of the decorrelated spectral data for the preparation of the reference template for remote scenes classification; (b) using a second spectral imager for measuring a spectral cube of analyzed remote scenes, such that a spectrum of each pixel in the remote scenes is obtained; (c) employing a decorrelation statistical method for extracting decorrelated spectral data characterizing the pixels; and (d) comparing at least a part of the decorrelated spectral data extracted from the pixels of the remote scenes with the reference template.

    Abstract translation: 一种用于远程场景分类的方法,包括以下步骤:(a)通过(i)通过用于获得一组预分类参考场景的常规分类技术对一组参考场景进行分类,准备用于远程场景分类的参考模板; (ii)使用第一光谱成像仪来测量预分类参考场景的光谱立方体; (iii)采用主成分分析来提取表征参考场景的去相关光谱数据的光谱立方体; 和(iv)使用至少一部分去相关的光谱数据来准备用于远程场景分类的参考模板; (b)使用第二光谱成像仪来测量分析的远程场景的光谱立方体,使得获得远程场景中每个像素的光谱; (c)采用解相关统计方法来提取表征像素的去相关光谱数据; 和(d)将从远程场景的像素提取的去相关光谱数据的至少一部分与参考模板进行比较。

    METHOD AND APPARATUS FOR UTILIZING REPRESENTATIONAL IMAGES IN ANALYTICAL ACTIVITIES
    6.
    发明申请
    METHOD AND APPARATUS FOR UTILIZING REPRESENTATIONAL IMAGES IN ANALYTICAL ACTIVITIES 审中-公开
    分析活动中代表性图像的方法与装置

    公开(公告)号:WO2003038750A2

    公开(公告)日:2003-05-08

    申请号:PCT/US2002/034422

    申请日:2002-10-29

    IPC: G06T

    CPC classification number: G06K9/76 G06T11/206

    Abstract: In a method and apparatus for performing an analysis and other activities using one or more two- or three-dimensional representational images, presenting a two- or three-dimensional representational image containing analytical information to assist in the analytical process. One or more two- or three-dimensional representational images are created, e.g., using standard photography, holography or computer imaging, and are placed in a positioner for use by the analyst. The representational images are illuminated using a light source and the analyst utilizes the information released from the representational image to perform an analysis.

    Abstract translation: 在使用一个或多个二维或三维表示图像执行分析和其他活动的方法和装置中,呈现包含分析信息的二维或三维表示图像以辅助分析过程。 创建一个或多个二维或三维表示图像,例如使用标准摄影,全息或计算机成像,并且被放置在分析者使用的定位器中。 使用光源对表示图像进行照明,分析人员利用从表示图像中发布的信息进行分析。

    METHOD FOR ANALYZING COINCIDENCES OF MEDICAL AND/OR MICROSCOPIC IMAGES
    7.
    发明申请
    METHOD FOR ANALYZING COINCIDENCES OF MEDICAL AND/OR MICROSCOPIC IMAGES 审中-公开
    用于分析医学和/或微观图像分类的方法

    公开(公告)号:WO00032090A1

    公开(公告)日:2000-06-08

    申请号:PCT/ES1999/000385

    申请日:1999-11-26

    CPC classification number: G06K9/76 G03H1/0005 G03H2001/0066

    Abstract: The invention relates to a method for analyzing coincidences of medical images by means of holographic identification and filtration. This method provides for the automated quantification of the degree of coincidence of the image of an element, structure or injury of known interpretation at each point or area of another image (obtained by the same process). This method comprises a certain combination of histogram filtering techniques with a process for the filtration and holographic identification of images. Thereby, it is possible to locate in one image the total or partial presence of elements which are similar to the searched element of knownnterpretation even when this latter element proceeds from another image (of the same type), appears in a scale of different size or orientation or is apparently concealed in a complex background. This method is particularly useful for analyzing medical images obtained through any of the available process and/or techniques (tomography, echography, magnetic nuclear resonance, radiography, etc.).

    Abstract translation: 本发明涉及通过全息识别和过滤分析医学图像的重合的方法。 该方法提供了对另一图像的每个点或区域(通过相同过程获得)的元素,结构或已知解释的结构或损伤的重合程度的自动量化。 该方法包括直方图滤波技术与图像的过滤和全息识别过程的某种组合。 因此,即使当后一个元素从另一个图像(相同类型)进行时,也可以在一个图像中定位与所搜索的已知解释元素类似的元素的全部或部分存在,以不同大小的尺度出现,或者 方向或显然隐藏在复杂的背景中。 该方法对于分析通过任何可用的方法和/或技术(层析成像,回波,磁共振,射线照相等)获得的医学图像特别有用。

    METHOD AND ARRANGEMENT FOR REGISTERING AND VERIFYING FINGERPRINT INFORMATION
    9.
    发明申请
    METHOD AND ARRANGEMENT FOR REGISTERING AND VERIFYING FINGERPRINT INFORMATION 审中-公开
    注册和验证指纹信息的方法和安排

    公开(公告)号:WO01015066A1

    公开(公告)日:2001-03-01

    申请号:PCT/SE2000/001623

    申请日:2000-08-24

    CPC classification number: G06K9/76 G06K9/00087

    Abstract: The invention relates to a method and an arrangement for registering fingerprint information via a sensing surface (A). The method comprises scanning part surfaces (A'1) in the sensing surface (A), checking whether the centre point (P1), with its immediate surrounding area (A''1), of each scanned part surface (A'1) is unique within the part surface (A'1) and registering a first number of centre points (P1) which, with their respective immediate surrounding areas (A''1), are unique within their respective part surfaces (A'1). The respective immediate surrounding areas (A''1) of the points and the respective part surfaces (A'1) of the points are also registered. The invention also relates to a method and an arrangement for verifying fingerprint information, in which verification is carried out on the basis of registered information relating to a fingerprint which is to be approved in the verification method. The method comprises a number of part surface (A'1) with their respective centre points (P1) in the fingerprint whose information is registered being compared with corresponding part surfaces (A'2) on the sensing surface (A). If there is a point (P2) on a part surface (A'2) on the sensing surface A which, with its immediate surrounding area (A''2), corresponds to the registered centre point (P1) including its immediate surrounding area (A''1) in the corresponding stored part surface (A'1), the point (P2) with its part surface (A'2) is approved. If a certain number of points (P2) with associated part surfaces (A'2) have been approved, these are selected for a first step in further processing.

    Abstract translation: 本发明涉及一种通过感测表面(A)登记指纹信息的方法和装置。 该方法包括扫描检测表面(A)中的部分表面(A'1),检查每个扫描部分表面(A'1)的中心点(P1)及其紧邻周围区域(A'1) 在部分表面(A'1)内是唯一的,并且记录与它们各自的直接周围区域(A'1)在它们各自的部分表面(A'1)内是唯一的第一数量的中心点(P1)。 点的相应的直接周围区域(A'1)和点的相应部分表面(A'1)也被登记。 本发明还涉及一种用于验证指纹信息的方法和装置,其中基于在验证方法中将被批准的指纹的登记信息进行验证。 该方法包括多个部件表面(A'1),其中登记有其信息的指纹中的各自的中心点(P1)与感测表面(A)上的对应部分表面(A')进行比较。 如果感测面A上的部分表面(A'2)上有点(P2),其中其直接周围区域(A'2)对应于包括其直接周围区域的登记中心点(P1) (A'1)在对应的存储部分表面(A'1)中,其部分表面(A'2)的点(P2)被批准。 如果具有关联部件表面(A'2)的一定数量的点(P2)已经被批准,则这些点被选择用于进一步处理的第一步。

    METHOD FOR REMOTE SENSING ANALYSIS BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFOR
    10.
    发明申请
    METHOD FOR REMOTE SENSING ANALYSIS BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFOR 审中-公开
    用于使用统计降级分析和硬件的用于远程检测分析的方法

    公开(公告)号:WO99001843A1

    公开(公告)日:1999-01-14

    申请号:PCT/US1998/013524

    申请日:1998-06-29

    Abstract: A method for remote scenes classification comprising the steps of (a) preparing a reference template for classification of the remote scenes via (i) classifying a set of reference scenes via a conventional classification technique for obtaining a set of preclassified reference scenes; (ii) using a first spectral imager for measuring a spectral cube of the preclassified reference scenes; (iii) employing a principal component analysis for extracting the spectral cube for decorrelated spectral data characterizing the reference scenes; and (iv) using at least a part of the decorrelated spectral data for the preparation of the reference template for remote scenes classification; (b) using a second spectral imager for measuring a spectral cube of analyzed remote scenes, such that a spectrum of each pixel in the remote scenes is obtained; (c) employing a decorrelation statistical method for extracting decorrelated spectral data characterizing the pixels; and (d) comparing at least a part of the decorrelated spectral data extracted from the pixels of the remote scenes with the reference template.

    Abstract translation: 本发明涉及由以下组成的远程场景的分类:(a)通过执行以下操作来准备用于远景场景分类的参考模型:(i)通过应用 常规分类技术以获得一组预分类参考图像; (ii)使用第一光谱成像仪来测量预分类参考图像的光谱体积; (iii)使用主成分分析从表征远距场景的谱体积中提取解相关频谱数据; 和(iv)使用至少一部分解相关光谱数据来准备用于远程场景分类的参考模型; (b)使用第二光谱成像器来测量所分析的远程场景的光谱体积以确定远场景中的每个像素的光谱; (c)应用解相关的统计方法来提取表征像素的解相关光谱数据; (d)将从远程场景的像素提取的解相关光谱数据的至少一部分与参考模型进行比较。

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