Title :
Recursive two-dimensional median filtering algorithms for fast image root extraction
Author :
Boles, W.W. ; Kanefsky, M. ; Simaan, M.
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
fDate :
10/1/1988 12:00:00 AM
Abstract :
The authors develop and evaluate two new two-dimensional fast recursive median filtering algorithms, for image root extraction. The first recursive algorithm, which is called the fast binary root algorithm, converges to a root of a binary image in one pass including a number of local rescans. The second is referred to as the fast multilevel root algorithm. It converges to a root of a multilevel image in two passes, the second of which includes a number of local rescans. The number of ordering positions required by the author´s algorithms is shown to be significantly less than those required by the standard and regular recursive median filters
Keywords :
convergence; filtering and prediction theory; picture processing; binary image; fast binary root algorithm; fast image root extraction; fast multilevel root algorithm; local rescans; multilevel image; ordering positions; recursive algorithm; two-dimensional median filtering; Convergence; Filtering algorithms; Filters; Image converters; Image processing; Magnetic resonance; Noise robustness; Pixel; Signal processing algorithms; Statistics;
Journal_Title :
Circuits and Systems, IEEE Transactions on