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    • 21. 发明授权
    • System, method and computer program product for document image analysis using feature extraction functions
    • 使用特征提取功能的文档图像分析的系统,方法和计算机程序产品
    • US08379980B2
    • 2013-02-19
    • US13071999
    • 2011-03-25
    • Yuh-Lin E. ChangStewart N. TaylorMichael F. Fallon
    • Yuh-Lin E. ChangStewart N. TaylorMichael F. Fallon
    • G06K9/40
    • G06T5/002G06K9/00456G06T7/11G06T2207/30176
    • Methods, systems and computer program products to improve the efficiency and computational speed of an image enhancement process. In an embodiment, information that is generated as interim results during feature extraction may be used in a segmentation and classification process and in a content adaptive enhancement process. In particular, a cleaner image that is generated during a noise removal phase of feature extraction may be used in a content adaptive enhancement process. This saves the content adaptive enhancement process from having to generate a cleaner image on its own. In addition, low-level segmentation information that is generated during a neighborhood analysis and cleanup phase of feature extraction may be used in a segmentation and classification process. This saves the segmentation and classification process from having to generate low-level segmentation information on its own.
    • 方法,系统和计算机程序产品,以提高图像增强过程的效率和计算速度。 在一个实施例中,在特征提取期间作为中期结果生成的信息可以用于分割和分类过程以及内容自适应增强过程中。 特别地,可以在内容自适应增强处理中使用在特征提取的噪声去除阶段期间产生的更清晰的图像。 这样可以节省内容自适应增强过程,而不必自己生成更清晰的图像。 此外,在分割和分类过程中可以使用在特征提取的邻域分析和清除阶段期间生成的低级分割信息。 这样可以节省分割和分类过程,而不必自行生成低级分割信息。
    • 24. 发明申请
    • SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DOCUMENT IMAGE ANALYSIS USING FEATURE EXTRACTION FUNCTIONS
    • 使用特征提取函数的文档图像分析的系统,方法和计算机程序产品
    • US20120243787A1
    • 2012-09-27
    • US13071999
    • 2011-03-25
    • Yuh-Lin E. ChangStewart N. TaylorMichael F. Fallon
    • Yuh-Lin E. ChangStewart N. TaylorMichael F. Fallon
    • G06K9/34
    • G06T5/002G06K9/00456G06T7/11G06T2207/30176
    • Methods, systems and computer program products to improve the efficiency and computational speed of an image enhancement process. In an embodiment, information that is generated as interim results during feature extraction may be used in a segmentation and classification process and in a content adaptive enhancement process. In particular, a cleaner image that is generated during a noise removal phase of feature extraction may be used in a content adaptive enhancement process. This saves the content adaptive enhancement process from having to generate a cleaner image on its own. In addition, low-level segmentation information that is generated during a neighborhood analysis and cleanup phase of feature extraction may be used in a segmentation and classification process. This saves the segmentation and classification process from having to generate low-level segmentation information on its own.
    • 方法,系统和计算机程序产品,以提高图像增强过程的效率和计算速度。 在一个实施例中,在特征提取期间作为中期结果生成的信息可以用于分割和分类过程以及内容自适应增强过程中。 特别地,可以在内容自适应增强处理中使用在特征提取的噪声去除阶段期间产生的更清晰的图像。 这样可以节省内容自适应增强过程,而不必自己生成更清晰的图像。 此外,在分割和分类过程中可以使用在特征提取的邻域分析和清除阶段期间生成的低级分割信息。 这样可以节省分割和分类过程,而不必自行生成低级分割信息。