DocumentCode :
1740203
Title :
Processing color and complex data using mathematical morphology
Author :
Wheeler, Matt ; ZMUDA, MICHAEL A.
Author_Institution :
Dept. of Math. & Stat., Miami Univ., Oxford, OH, USA
fYear :
2000
fDate :
2000
Firstpage :
618
Lastpage :
624
Abstract :
Mathematical morphology has been used extensively to process binary and grayscale images. The use of mathematical morphology to process color images, however, is quite limited due to technical problems with ordering vector quantities. This paper describes three morphological techniques for processing color images that have appeared in the literature, in addition to presenting a new technique based on vector projections. The usefulness of these techniques is then illustrated on the task of extracting an object from a color image. Techniques for morphologically processing color images can be also applied to images and signals containing complex data
Keywords :
image colour analysis; mathematical morphology; colour image processing; complex data processing; mathematical morphology; morphological techniques; object extraction task; vector projections based technique; Color; Computer science; Data mining; Gray-scale; Image processing; Mathematics; Morphology; Pixel; Signal processing; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
National Aerospace and Electronics Conference, 2000. NAECON 2000. Proceedings of the IEEE 2000
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-6262-4
Type :
conf
DOI :
10.1109/NAECON.2000.894970
Filename :
894970
Link To Document :
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