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.