Image feature extraction method and image compression method
    1.
    发明授权
    Image feature extraction method and image compression method 有权
    图像特征提取方法和图像压缩方法

    公开(公告)号:US08160368B2

    公开(公告)日:2012-04-17

    申请号:US12376059

    申请日:2007-02-02

    IPC分类号: G06K9/56 G06K9/46 G06K9/36

    CPC分类号: H04N19/90 H04N19/63

    摘要: The image feature extraction method of the present invention includes: the step of performing k2 dividing process at least once on a given image so as to convert the given image into a multi-divided image, where the k2 dividing process comprises the steps of: a) creating matrix T based on image matrix X; b) computing singular values of the matrix T; c) determining whether or not minj|σj−σj−1|>ε; d) if the result of the determination in the step c) is “No”, returning to the step c) subsequent to computing the singular values of the enlarged matrix Tα; e) if the result of the determination in the step c) is “Yes”, obtaining U which satisfies T=USVT; f) obtaining matrix T1=UTT; and g) creating image matrix X1 based on matrix T1.

    摘要翻译: 本发明的图像特征提取方法包括:在给定图像上进行k2分割处理至少一次以便将给定图像转换为多分割图像的步骤,其中k2分割处理包括以下步骤:a )基于图像矩阵X创建矩阵T; b)计算矩阵T的奇异值; c)确定是否minj |&sgr; j-&sgr; j-1 |>&egr ;; d)如果步骤c)中的确定结果为“否”,则在计算放大矩阵Tα的奇异值之后返回到步骤c); e)如果步骤c)中的确定结果为“是”,则获得满足T = USVT的U; f)获得矩阵T1 = UTT; 并且g)基于矩阵T1创建图像矩阵X1。

    IMAGE FEATURE EXTRACTION METHOD AND IMAGE COMPRESSION METHOD
    2.
    发明申请
    IMAGE FEATURE EXTRACTION METHOD AND IMAGE COMPRESSION METHOD 有权
    图像特征提取方法和图像压缩方法

    公开(公告)号:US20090324064A1

    公开(公告)日:2009-12-31

    申请号:US12376059

    申请日:2007-02-02

    IPC分类号: G06K9/34 G06K9/00

    CPC分类号: H04N19/90 H04N19/63

    摘要: The image feature extraction method of the present invention includes: the step of performing k2 dividing process at least once on a given image so as to convert the given image into a multi-divided image, where the k2 dividing process comprises the steps of: a) creating matrix T based on image matrix X; b) computing singular values of the matrix T; c) determining whether or not minj|σj−σj−1|>ε; d) if the result of the determination in the step c) is “No”, returning to the step c) subsequent to computing the singular values of the enlarged matrix Tα; e) if the result of the determination in the step c) is “Yes”, obtaining U which satisfies T=USVT; f) obtaining matrix T1=UTT; and g) creating image matrix X1 based on matrix T1.

    摘要翻译: 本发明的图像特征提取方法包括:在给定图像上进行k2分割处理至少一次以便将给定图像转换为多分割图像的步骤,其中k2分割处理包括以下步骤:a )基于图像矩阵X创建矩阵T; b)计算矩阵T的奇异值; c)确定minj | sigmaj-sigmaj-1 |> epsilon; d)如果步骤c)中的确定结果为“否”,则在计算放大矩阵Talpha的奇异值之后返回到步骤c) e)如果步骤c)中的确定结果为“是”,则获得满足T = USVT的U; f)获得矩阵T1 = UTT; 并且g)基于矩阵T1创建图像矩阵X1。