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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Medical Image Segmentation Using Cooccurrence Matrix Based Texture Features Calculated on Weighted Region
Typ:
Conference paper
Authors:
Tesař L., Smutek D., Shimizu A., Kobatake H.
Proceedings name:
Advances in Computer Science and Technology . IASTED international conference 2007 /3./
Publisher:
ACTA Press
Serie:
Phuket
Year:
2007
ISBN:
978-0-88986-656-0
Keywords:
medical image analysis, bioinformatics, pattern recognition
Anotation:
An improvement of texture based 2D or 3D co-occurrence based image segmentation method is proposed, aimed at medical image analysis. The co-occurerrence matrix is calculated so that each cooccurrence is weighted by the function of distance from the original pixel of interest.