DocumentCode
1399817
Title
Image and signal processing with mathematical morphology
Author
Bangham, Andrew ; Marshall, Stephen
Author_Institution
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
Volume
10
Issue
3
fYear
1998
fDate
6/1/1998 12:00:00 AM
Firstpage
117
Lastpage
128
Abstract
Mathematical morphology is the analysis of signals and images in terms of shape. Much is based on simple positive Boolean functions that are used to produce filters for binary and greyscale signals and images. In a previous development, the standard operators are applied to connected sets that form maxima and minima. These are new, powerful, general tools for analysing and representing images
Keywords
Boolean functions; digital filters; image representation; mathematical morphology; signal representation; binary images; binary signals; connected sets; filters; greyscale images; greyscale signals; image processing; mathematical; positive Boolean functions; representation; shape; signal processing;
fLanguage
English
Journal_Title
Electronics & Communication Engineering Journal
Publisher
iet
ISSN
0954-0695
Type
jour
DOI
10.1049/ecej:19980305
Filename
692546
Link To Document