Morphological systems for multidimensional signal processing
- 1 April 1990
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 78 (4), 690-710
- https://doi.org/10.1109/5.54808
Abstract
The basic theory and applications of a set-theoretic approach to image analysis called mathematical morphology are reviewed. The goals are to show how the concepts of mathematical morphology geometrical structure in signals to illuminate the ways that morphological systems can enrich the theory and applications of multidimensional signal processing. The topics covered include: applications to nonlinear filtering (morphological and rank-ordeKeywords
This publication has 102 references indexed in Scilit:
- A multiscanning approach based on morphological filteringIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- A representation theory for morphological image and signal processingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- Binary image algebra and optical cellular logic processor designComputer Vision, Graphics, and Image Processing, 1989
- A nonlinear laplace operator as edge detector in noisy imagesComputer Vision, Graphics, and Image Processing, 1989
- Threshold decomposition of gray-scale morphology into binary morphologyIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- Application of morphological transformations to the analysis of two-dimensional electrophoretic gels of biological materialsComputer Vision, Graphics, and Image Processing, 1986
- Grayscale morphologyComputer Vision, Graphics, and Image Processing, 1986
- Distance transformations in arbitrary dimensionsComputer Vision, Graphics, and Image Processing, 1984
- A cellular logic array for image processingPattern Recognition, 1973
- Biological shape and visual science (part I)Journal of Theoretical Biology, 1973