Title :
Efficient algorithms for the soft morphological operators
Author :
ZMUDA, MICHAEL A. ; Tamburino, Louis A.
Author_Institution :
UMI, Kettering, OH, USA
fDate :
11/1/1996 12:00:00 AM
Abstract :
This correspondence presents two soft morphological algorithms that process multiple images simultaneously. The first algorithm performs best when the structuring elements contain less than 19 points; whereas, the second algorithm should be used for larger structuring elements. Theoretical and experimental analyses show these algorithms are faster than the conventional algorithm
Keywords :
computational complexity; image processing; mathematical morphology; multiple image processing; soft morphological operators; Algorithm design and analysis; Computational complexity; Data structures; Humans; Image processing; Logic; Morphology; Set theory; Shape; Unified modeling language;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on