DocumentCode :
3312267
Title :
Colour triplet-valued wavelets and splines
Author :
Labunets, Valeri ; Maidan, Alexei ; Labunets-Rundblad, Ekaterina ; Astola, Jaakko
Author_Institution :
Int. Center for Signal Process., Tampere Univ. of Technol., Finland
fYear :
2001
fDate :
2001
Firstpage :
535
Lastpage :
540
Abstract :
The concept of colour and and multispectral image recognition connects all the topics we are considering. Colour (multispectral) image processing is investigated using an algebraic approach based on triplet numbers. In the algebraic approach, each image element is considered not as a 3D vector, but as a triplet number. The main goal of the paper is to show that triplet algebra can be used to solve colour image processing problems in a natural and effective manner. We propose novel methods for wavelet transforms and spline implementation in colour space
Keywords :
image colour analysis; image recognition; spectral analysis; splines (mathematics); wavelet transforms; colour image processing; multispectral image recognition; splines; triplet algebra; triplet numbers; wavelet transforms; wavelets; Algebra; Animals; Color; History; Image processing; Image recognition; Multispectral imaging; Signal processing; Visual system; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Conference_Location :
Pula
Print_ISBN :
953-96769-4-0
Type :
conf
DOI :
10.1109/ISPA.2001.938687
Filename :
938687
Link To Document :
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