Title :
Image and signal processing with mathematical morphology
Author :
Bangham, Andrew ; Marshall, Stephen
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
fDate :
6/1/1998 12:00:00 AM
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;
Journal_Title :
Electronics & Communication Engineering Journal
DOI :
10.1049/ecej:19980305
