Stimulated Cores and their Applications in Medical Imaging
Stimulated Cores and their Applications in Medical Imaging
复制标题
受激核心及其在医学成像中的应用
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
M. McAuliffe
中科院分区：
文献类型：
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作者：
D. Fritsch;D. Eberly;S. Pizer;M. McAuliffe
表示医学图像中与对象大小无关的对象的几何属性必然需要多尺度或尺度空间分析。我们描述了称为核心的方法，用于通过尺度空间测量来表示灰度图像对象的中间和宽度属性，并描述了一种称为受激核心的有效计算算法。我们展示了受激核心在各种医学成像任务中的应用。
Representing geometric properties of objects in medical images independent of object size necessarily requires a multiscale, or scale space, analysis. We describe means called cores for representing middle and width properties of greyscale image objects via scale space measurements and describe an efficient algorithm for their computation called stimulated cores. We present applications of stimulated cores in a variety of medical imaging tasks.