Method and apparatus for improved digital image processing
    1.
    发明授权
    Method and apparatus for improved digital image processing 失效
    改进数字图像处理的方法和装置

    公开(公告)号:US4330833A

    公开(公告)日:1982-05-18

    申请号:US910089

    申请日:1978-05-26

    CPC分类号: G06T5/20 H03H17/02

    摘要: An improved method and apparatus for digital image processing is disclosed which permits greater efficiency in implementation of digital filtering techniques. In one implementation specially selected small generating kernels, or masks, are sequentially convolved with a data array of pixels representative of a particular image for more efficient restoration, enhancement or other conventional digital image processing techniques. The small generating kernels may be varied for each sequential convolution. In some implementations the output of each sequential convolution may be weighted in accordance with the filtering desired. Means for implementing the method are also disclosed.

    摘要翻译: 公开了一种用于数字图像处理的改进的方法和装置,其允许在实现数字滤波技术方面更高的效率。 在一个实现中,特别选择的小生成内核或掩码与表示特定图像的像素的数据阵列顺序卷积,用于更有效的恢复,增强或其他常规数字图像处理技术。 每个顺序卷积可以改变小的生成内核。 在一些实现中,每个顺序卷积的输出可以根据期望的滤波进行加权。 还公开了实现该方法的手段。

    MRA segmentation using active contour models
    2.
    发明授权
    MRA segmentation using active contour models 失效
    使用主动轮廓模型进行MRA分割

    公开(公告)号:US06718054B1

    公开(公告)日:2004-04-06

    申请号:US09602701

    申请日:2000-06-23

    IPC分类号: G06K900

    摘要: A method and system of providing segmentation of volumetric three-dimensional image data set such as MRA images. Initially, a three-dimensional MRA volume is input. An initial surface S is then generated by thresholding the input. A signed distance function v to S is then generated, where v=v(x,t) and S is the zero level set of v(·,0). The process proceeds by iteratively updating v according to v t = λ ⁢   ⁢ ( ∇ v ⁢   ⁢ ( x , t ) , ∇ 2 ⁢ v ⁢   ⁢ ( x , t ) ) + g ′ g ⁢   ⁢ ∇ v ⁢   ⁢ ( x , t ) · H ⁢   ⁢ ∇ I &LeftBracketingBar; ∇ I &RightBracketingBar; , the updating terminates at convergence or as determined by an operator. S′ is then defined to be the zero level set of the current distance function v′ and reinitialize v′ to be a distance function to S′. The volume is continually iteratively updated such that a final distance function v is obtained. The first output obtained from this volume is a segmentation of vessels in the MRA data, obtained by computing the zero level set of v.

    摘要翻译: 提供诸如MRA图像的体积三维图像数据集的分割的方法和系统。 最初,输入三维MRA音量。 然后通过对输入进行阈值来产生初始表面S. 然后生成带符号距离函数v到S,其中v = v(x,t),S是v(。,0)的零电平集合。 该过程通过根据更新在收敛处终止或由操作者确定来迭代地更新v来进行。 然后将S'定义为当前距离函数v'的零级集合,并将v'重新初始化为与S'的距离函数。 体积被不断迭代地更新,使得获得最终距离函数v。 从该体积获得的第一个输出是MRA数据中的血管的分割,通过计算v的零水平集获得。