New Alternating Sequential Filters and the application for impulsive noise removal

Alternating Sequential Filters (ASFs) are important composing operations of mathematical morphology in different applications. However, because of the image detail smoothing of the opening and closing operations in ASFs, ASFs can not perform very well. New top-hat transform had been proposed through reconstructing the used structuring elements, which can protect image details. And, the main operations in new top-hat transform can achieve the same purpose of opening or closing for bright or black feature extraction. In light of this, a new class of ASFs based on new top-hat transform is proposed in this paper. An application of impulsive noise suppression is used to show the efficient performance of new ASFs. Experimental results show that new ASFs perform better than ASFs, and can be widely used in different applications.