DocumentCode :
419602
Title :
The morphological top-hat operator generalised to multi-channel images
Author :
Hanbury, Allan
Author_Institution :
Pattern Recognition & Image Process. Group, Vienna Univ. of Technol., Austria
Volume :
1
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
672
Abstract :
The morphological top-hat operator for grayscale images is part of the basic toolbox of mathematical morphology operators. We discuss two ways of generalising the top-hat operator to multi-channel images, such as colour images. The first method presented is the use of a vectorial order in the relevant vector space. The second is based on the demonstration that the top-hat operator can be rewritten in terms of increments. These increments can be replaced by any vectorial distance function, removing the requirement to first impose an order on the vectors. We present examples of the use of the suggested top-hat operators in feature detection in colour images and defect detection in texture.
Keywords :
feature extraction; image colour analysis; image texture; mathematical morphology; mathematical operators; vectors; colour image feature detection; grayscale images; mathematical morphology operators; morphological top hat operator; multichannel images; texture defect detection; vectorial distance function; Computer vision; Data mining; Image color analysis; Image processing; Image texture analysis; Morphology; Muscles; Object detection; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334259
Filename :
1334259
Link To Document :
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