文件名称:Generalized-Computation-of-Gaussian-Derivatives-Us
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [PDF]
- 上传时间:
- 2012-11-26
- 文件大小:
- 846kb
- 下载次数:
- 0次
- 提 供 者:
- x**
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- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
对三维图像进行求导的一个程序,利用高斯卷积后对图像求导相当于对高斯函数求导的性质。是用itk库写的一个通用模板类,里面还有例子。-Computation of local image derivatives is an important operation in many image processing tasks that
involve feature detection and extraction, such as edges, corners or more complicated features. How-
ever, derivative computation in discrete images is an ill-posed problem and derivative operators without
any prior smoothing are known to enhance noise. Here we present a new convolution operator, the
GaussianDerivativeOperator, that allows to calculate locally Gaussian derivatives of N order. Fur-
thermore, we present some useful classes and examples that make use of this new operator.
involve feature detection and extraction, such as edges, corners or more complicated features. How-
ever, derivative computation in discrete images is an ill-posed problem and derivative operators without
any prior smoothing are known to enhance noise. Here we present a new convolution operator, the
GaussianDerivativeOperator, that allows to calculate locally Gaussian derivatives of N order. Fur-
thermore, we present some useful classes and examples that make use of this new operator.
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下载文件列表
IJ_IMacia_Generalized_Computation_Gaussian_Derivatives_5.tar.gz
IJ_IMacia_Generalized_Computation_Gaussian_Derivatives_5.zip
IJ_IMacia_Generalized_Computation_Gaussian_Derivatives.pdf
license.txt
IJ_IMacia_Generalized_Computation_Gaussian_Derivatives_5.zip
IJ_IMacia_Generalized_Computation_Gaussian_Derivatives.pdf
license.txt