Title :
Threshold decomposition of soft morphological filters
Author :
Shih, Frank Y. ; Pu, Christopher C.
Author_Institution :
Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
The properties of soft morphological operations and the new definitions of binary soft morphological operations are presented. It is shown that soft morphological filtering on an arbitrary signal is equivalent to decomposing the signal into binary signals, filtering each binary signal with a binary soft morphological filter, and then reversing the decomposition. This equivalence allows problems in the analysis and the implementation of soft morphological operations in real time by using only logic gates for binary signals instead of sorting numbers
Keywords :
filtering theory; logic gates; mathematical morphology; signal processing; binary signals; filtering; logic gates; mathematical morphology; soft morphological filters; threshold decomposition; Additive noise; Computer vision; Filtering; Filters; Gray-scale; Logic gates; Morphological operations; Shape; Signal analysis; Signal processing; Sorting; Statistics;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341034
