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    • 1. 发明授权
    • Fingerprint matching by estimation of a maximum clique
    • 通过估计最大集团的指纹匹配
    • US5933516A
    • 1999-08-03
    • US959177
    • 1997-10-28
    • Peter Henry TuRichard Ian Hartley
    • Peter Henry TuRichard Ian Hartley
    • G06T7/00G06K9/00
    • G06K9/00093
    • A base pair of minutia is selected in the latent fingerprint under consideration and each tenprint or reference fingerprint. For each selected base pair, those sets of minutia pairs are selected which satisfy apriori constraints including angle, distance and ridge counts, to generate a first set of minutia which support the fingerprint correspondence. A second set of the supporting minutia pairs is generated from the first set, which doesn't contain pairs which are inconsistent with the base pair/bias angle. A third set is established using "dynamic programming" to determine the largest topologically self-consistent subset of the second set. The minutia pairings are counted in the third set, to thereby establish a merit of the base pair. For each of the minutia of the latent fingerprint, a correspondence group is generated, of a predetermined number of minutia of the tenprint which have the greatest merit. The group is searched for a maximal clique in which every latent-tenprint minutia pair is consistent with every other minutia pair in the clique. A cardinality, equal to the number of latent-tenprint minutia pairs in the maximal clique, is stored. The steps are repeated, to generate a set of cardinalities.
    • 在潜在指纹中选择一对基本细节,每个印记或参考指纹。 对于每个选择的基对,选择满足包括角度,距离和脊数的先验约束的这些精细对组,以生成支持指纹对应的第一组细节。 从第一组产生第二组支持细节对,其不包含与基准对/偏置角不一致的对。 使用“动态规划”建立第三组以确定第二组的最大拓扑自相一致子集。 细节配对在第三组中计数,从而建立了碱基对的优点。 对于潜在指纹的每个细节,产生具有最大优点的预定数量的印记细节的通信组。 该小组搜索最大的集团,其中每个潜在的印刷细节对与集团中的每个其他细节对一致。 存储等于最大组中潜在版图细目对数量的基数。 重复这些步骤,以生成一组基数。
    • 2. 发明授权
    • Fast segmentation of cardiac images
    • 快速分割心脏图像
    • US5903664A
    • 1999-05-11
    • US794981
    • 1997-02-05
    • Richard Ian HartleyRupert William Meldrum CurwenHarvey Ellis Cline
    • Richard Ian HartleyRupert William Meldrum CurwenHarvey Ellis Cline
    • A61B5/055G06T1/00G06T5/00G06K9/00
    • G06T7/0081G06T7/0012G06T2207/20012G06T2207/20101G06T2207/20104G06T2207/30048
    • A cardiac segmentation system acquires a series of images acquires as slices through a volume, and as images at different time periods throughout a cardiac cycle. It displays an image to an operator which interactively selects a region of interest (ROI) of the image to be segmented, such as the left ventricle. A seed point is also selected within the ROI and the structure desired to be segmented. The image is then thresholded by a masking device classifying points within the ROI as above the threshold, or not above the threshold. A 3D connectivity device identifies points within the ROI having the same classification as an expanded seed point which are also contiguous with the seed point as the segmented structure. The segmented structure is expanded and a histogram is constructed. A new threshold is selected which separates modes of the histogram, and used to carry out a revised, final, segmentation of the current image. The centroid of the current image is used as a seed point in segmenting adjacent images. Similarly, the current threshold is used as an initial threshold for adjacent images. The previous seed point and ROI may also be used. This is repeated for a number of images to result in segmented structures may then be stored, displayed and used in calculating heart functionality.
    • 心脏分割系统通过体积获取作为切片获取的一系列图像,并且获取整个心脏周期中不同时间段的图像。 它向操作者显示图像,其交互地选择要被分割的图像的感兴趣区域(ROI),例如左心室。 还在ROI内选择种子点,并且希望被分割的结构。 然后通过掩蔽装置对图像进行阈值化,将ROI内的点分类为阈值以上,或不高于阈值。 3D连接设备识别ROI内的点与扩展种子点相同的分类,其也与种子点相邻,作为分段结构。 分段结构展开并构建直方图。 选择一个新的阈值,其分离直方图的模式,并用于对当前图像执行经修改的最终分割。 当前图像的质心在分割相邻图像时用作种子点。 类似地,将当前阈值用作相邻图像的初始阈值。 也可以使用先前的种子点和ROI。 对于多个图像重复导致分段结构可以被存储,显示并用于计算心脏功能。