Realisation of Soft Morphological Filters

Soft Mathematical Morphology: Extensions, Algorithms and Implementations

Preface Linear filters have been used as the primary tools in signal and image processing. They exhibit many desirable properties, such as the superposition, which makes them easy to design and implement. Furthermore, they are the best solution in additive Gaussian noise suppression. However, when the noise is not additive or when there exist system non-linearities linear filters are not adequa...

A New Hardware Structure for Implementation of Soft Morphological Filters

A new hardware structure for implementation of soft morphological filters is presented in this paper. This is based on the modification of the majority gate technique. A pipelined systolic array architecture suitable to perform real-time soft morphological filtering is presented as an illustrative example. The processing times of the proposed hardware structure do not depend on the data window ...

Rank-Order Morphological Filters: A New Class of Filters

| A new class of morphological lter is presented, being a subclass of soft morphological lters and containing within it both the class of rank-order lters and the class of standard morphological lters.

Restoration of archive film material using multi-dimensional soft morphological filters

A method for the optimisation of 3-D grey-scale soft morphological filters using genetic algorithms is described, which has applications in the restoration of archive film material. This method extends an existing 2-D (spatial) to the 3-D (spatio-temporal) domain, thus allows the filtering to make use of the temporal nature of the corruption and hence improve its performance.

A Novel Approach to Shape Decomposition and Representation using Soft Morphological Filters