多维二值模式的顺序细化算法
A Sequential Thinning Algorithm For Multi-Dimensional Binary Patterns
摘要：
细化是去除图像中连接组件的轮廓像素/点，以产生保留连接性和结构属性的骨架。细化过程的输出要求通常随应用而变化。本文提出了一种易于理解和根据应用修改的顺序算法来实现多维二值模式的细化。该算法在2D和3D图案上进行了测试，并显示出非常好的效果。此外，还与用于2D图案的两种最先进的方法进行了比较。所得结果证明了该方法的有效性。
英文摘要：
Thinning is the removal of contour pixels/points of connected components in an image to produce their skeleton with retained connectivity and structural properties. The output requirements of a thinning procedure often vary with application. This paper proposes a sequential algorithm that is very easy to understand and modify based on application to perform the thinning of multi-dimensional binary patterns. The algorithm was tested on 2D and 3D patterns and showed very good results. Moreover, comparisons were also made with two of the state-of-the-art methods used for 2D patterns. The results obtained prove the validity of the procedure.
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