灰度图象广义形态骨架变换

The Generalized Morphological Skeltron Transformation for Gray-level Image

本文提出了一种分析灰度图象的形态变换方法，文中详细研究了该变换的一般性构成方式，并给出了它在单结构元情况下的两种具体表现形式；本文还说明了该变换所具有的重要特性：位移不变性、无失真重构性及广义等幂性，本文最后还讨论了利用该变换来抽取物体的一些形态特征，计算结果证明了此方法的正确性．

This paper proposes a type of morphological transformation for gray-level image analysis and discusses its generalized form.Two specific representations of the transformation are presented using single structuring element.This paper also proves that this transformation is characterized by several important properties :transtation invariance,reconstruction without distortion and generalized idempotence. Finally,we discuss the technique to extract the morphological features of object,and computational results have shown its validity.