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1. 发明授权

US06961476B2 Autothresholding of noisy images 失效
标题翻译：自动阈值噪声图像
公开(公告)号：US06961476B2
公开(公告)日：2005-11-01
申请号：US09917545
申请日：2001-07-27
申请人： Matthew Robert Cole Atkinson
发明人： Matthew Robert Cole Atkinson
IPC分类号： G06K9/38 , G06T5/00 , H04N1/403 , G06T1/00
CPC分类号： G06K9/38 , G06T7/11 , G06T7/136 , G06T2207/10016 , G06T2207/10064
摘要： The present invention provides to image processing methods that include a method of selecting an optimal threshold value (to) for an image comprising the steps of: obtaining an image; selecting a test segment of the said image; determining the mean feature size (S) of features appearing in the test segment at each of a plurality of threshold values (t), so as to produce mean feature size data (S(t)); selecting a relevant subset of the mean feature size data (S(t)); and determining an optimal threshold value (to) as a function of said subset of the mean feature size data. The present invention additionally provides methods of thresholding an image to produce a binary image by application of the optimal threshold value (to) determined according to the methods of the present invention.
摘要翻译：本发明提供了一种图像处理方法，其包括为图像选择最佳阈值（t 0>）的方法，该方法包括以下步骤：获得图像; 选择所述图像的测试段; 确定在多个阈值（t）中的每一个出现在测试段中的特征的平均特征尺寸（S），以便产生平均特征尺寸数据（S（t））; 选择平均特征尺寸数据（S（t））的相关子集; 以及确定作为所述平均特征尺寸数据的所述子集的函数的最优阈值（t∈0）。本发明另外提供了通过应用根据本发明的方法确定的最佳阈值（t

2. 发明授权

US06714675B1 Autogrid analysis 失效
标题翻译：自动格栅分析
公开(公告)号：US06714675B1
公开(公告)日：2004-03-30
申请号：US09540472
申请日：2000-03-31
申请人： Matthew Robert Cole Atkinson
发明人： Matthew Robert Cole Atkinson
IPC分类号： G06K946
CPC分类号： G06K9/3275 , G06K2209/07 , G06T7/74 , G06T2207/30072
摘要： A method and apparatus for identifying the orientation and positions of the elements of a grid in an image. The elements of the grid need not be parallel to the sides of the image, and the image need not contain all of the elements of the grid. The method can be applied to multi-sided grids, whether rectilinear or distorted. The addresses of identified grid elements can be used to control, e.g., analytical procedures directed to individual elements.
摘要翻译：一种用于识别图像中网格的元素的取向和位置的方法和装置。网格的元素不需要平行于图像的边，并且图像不需要包含网格的所有元素。该方法可以应用于多边形网格，无论是直线还是扭曲。所确定的网格元素的地址可用于控制例如针对各个元素的分析程序。

3. 发明授权

US06633669B1 Autogrid analysis 失效
标题翻译：自动格栅分析
公开(公告)号：US06633669B1
公开(公告)日：2003-10-14
申请号：US09422535
申请日：1999-10-21
申请人： Matthew Robert Cole Atkinson
发明人： Matthew Robert Cole Atkinson
IPC分类号： G06K946
CPC分类号： G06K9/3275 , G06K2209/07 , G06T7/74 , G06T2207/30072
摘要： A method and apparatus for identifying the orientation and positions of the elements of a grid in an image. The elements of the grid need not be parallel to the sides of the image, and the image need not contain all of the elements of the grid. The method can be applied to rectilinear and curved grids. The addresses of identified grid elements can be used to control, e.g., analytical procedures directed to individual elements.
摘要翻译：一种用于识别图像中网格的元素的取向和位置的方法和装置。网格的元素不需要平行于图像的边，并且图像不需要包含网格的所有元素。该方法可应用于直线和曲线网格。所识别的网格元素的地址可用于控制例如针对各个元素的分析程序

4. 发明授权

US06477273B1 Centroid integration 失效
标题翻译：质心整合
公开(公告)号：US06477273B1
公开(公告)日：2002-11-05
申请号：US09422584
申请日：1999-10-21
申请人： Matthew Robert Cole Atkinson
发明人： Matthew Robert Cole Atkinson
IPC分类号： G06K946
CPC分类号： G06K9/3283
摘要： Patterns in an image or graphical representation of a dataset are identified through centroid integration. The image or graphical representation is digitized. A collapsed image is created by identifying the centroid and at least one characteristic value for each feature in the digitized image. A shape, such as a line, curve, plane or hypersurface, is stepped across the image. At each step, the characteristic values are summed for all centroids within a predetermined distance of the shape. Peaks in the resulting summation represent matches between the shape and a pattern in the data, with steeper peaks representing a better match. Different shapes, or the same shape at different angles, can be applied to the data to find better fits with the patterns in the image. The image can be multidimensional, with the shape being one dimension less than the image.
摘要翻译：图像中的图案或数据集的图形表示通过质心整合来识别。图像或图形表示被数字化。通过识别质心和数字化图像中的每个特征的至少一个特征值来创建折叠图像。形状，如线，曲线，平面或超表面，跨越图像。在每个步骤中，将特征值相对于形状的预定距离内的所有重心相加。所得到的总和中的峰值表示数据中形状和图案之间的匹配，更陡峭的峰表示更好的匹配。不同形状或不同角度的相同形状可以应用于数据，以找到与图像中的图案更好的配合。图像可以是多维的，其形状比图像小一维。

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