Type:
Conference Paper›Invited and refereed articles in conference proceedings
Authored by:
Sidiropoulos, N D., Baras, John S., Berenstein, Carlos A.
Conference date:
October 22-25, 1995
Conference:
The IEEE 1995 International Conference on Image Processing, Vol I, pp. 518-521
Full Text Paper:
Abstract:
In recent work, we have shown that morphological Openings and closingS can be viewed as consistent MAP estimators of morphologically Smooth binary image signals immersed in i.i.d. union (clutter) noise, or suffering from i.i.d. random dropouts. We revisit this viewpoint under a different set of assumptions, which allows the explicit incorporation of geometric and morphological constraints into the noise model, i.e., the noise may now exhibit geometric Structure; surprisingly, it turns out that this affects neither the optimality nor the consistency of these filters.