سال انتشار: ۱۳۸۲

محل انتشار: پنجمین کنفرانس سراسری سیستم های هوشمند

تعداد صفحات: ۸

نویسنده(ها):

Safar Hatami – Department of Electrical and Computer Engineering University of Tehran
Babak Nadjar Araabi –
Caro Lucas –

چکیده:

In this paper, firstly, we consider dilation and erosion operations of fuzzy morphology in a new point of view in order to clarify the similarity of relations between mathematical morphology and Dempster-Shafer theory (DST). Secondly, we propose a novel approach based on generalized Dempster-Shafer theory (GDST) for fuzzy morphology. This method, in contrast to previous methods, does not need any threshold to obtain final eroded⁄ dilated image, and also the dilation and erosion operations are carried out independently but complementary. The GDST based fuzzy morphology results various eroded⁄ dilated images in consecutive α-cuts that these images are convex. In other words, the eroded⁄ dilated image of α۱-cut is a subset of an eroded⁄ dilated image of α۲-cut where α۱ ≤ α۲ ⁄ α۲ ≤ α۱, respectively.