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    • 1. 发明申请
    • METHODS AND SYSTEMS FOR PROCESSING DATA USING PRODUCT-LAW SYMMETRY DETECTION
    • 使用产品 - 法律对称检测处理数据的方法和系统
    • US20100310173A1
    • 2010-12-09
    • US12480152
    • 2009-06-08
    • Douglas M. Zoucha
    • Douglas M. Zoucha
    • G06K9/46
    • G06K9/6215
    • Systems and devices for processing image or other data using product-law symmetry are described. In one implementation, an image or other collection of data has a number of samples each having an associated intensity, luminance, magnitude or other value. A sub-set of the samples is selected, and a product is computed of at least a first value associated with a first sample in the sub-set and a second value associated with a second sample in the sub-set that is different from the first sample. The resulting product can be used to provide an output, such as an enhanced image or an indication that a target is present within the sub-set of samples. In image processing applications, the product may be based upon data obtained from single or multiple images to exploit target symmetry and to distribute the effects of random noise, thereby improving target identification or otherwise enhancing the image.
    • 描述了使用产品对称性处理图像或其他数据的系统和设备。 在一个实现中,图像或其他数据集合具有多个样本,每个采样具有相关联的强度,亮度,幅度或其它值。 选择样本的子集,并且计算与子集中的第一样本相关联的至少第一值的乘积和与子集中与第二样本不同的子集中的第二样本相关联的第二值 第一个样本。 所得到的产品可以用于提供输出,例如增强图像或目标在样本子集内存在的指示。 在图像处理应用中,产品可以基于从单个或多个图像获得的数据,以利用目标对称性并分配随机噪声的影响,从而改善目标识别或以其他方式增强图像。
    • 2. 发明授权
    • Methods and systems for processing data using product-law symmetry detection
    • 使用产法对称检测处理数据的方法和系统
    • US08391549B2
    • 2013-03-05
    • US12480152
    • 2009-06-08
    • Douglas M. Zoucha
    • Douglas M. Zoucha
    • G06K9/00H04N5/225
    • G06K9/6215
    • Systems and devices for processing image or other data using product-law symmetry are described. In one implementation, an image or other collection of data has a number of samples each having an associated intensity, luminance, magnitude or other value. A sub-set of the samples is selected, and a product is computed of at least a first value associated with a first sample in the sub-set and a second value associated with a second sample in the sub-set that is different from the first sample. The resulting product can be used to provide an output, such as an enhanced image or an indication that a target is present within the sub-set of samples. In image processing applications, the product may be based upon data obtained from single or multiple images to exploit target symmetry and to distribute the effects of random noise, thereby improving target identification or otherwise enhancing the image.
    • 描述了使用产品对称性处理图像或其他数据的系统和设备。 在一个实现中,图像或其他数据集合具有多个样本,每个采样具有相关联的强度,亮度,幅度或其它值。 选择样本的子集,并且计算与子集中的第一样本相关联的至少第一值的乘积和与子集中与第二样本不同的子集中的第二样本相关联的第二值 第一个样本。 所得到的产品可以用于提供输出,例如增强图像或目标在样本子集内存在的指示。 在图像处理应用中,产品可以基于从单个或多个图像获得的数据,以利用目标对称性并分配随机噪声的影响,从而改善目标识别或以其他方式增强图像。