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