Institute of Information Theory and Automation

You are here

Bibliography

Conference Paper (international conference)

Medical Image Segmentation Using Cooccurrence Matrix Based Texture Features Calculated on Weighted Region

Tesař Ludvík, Smutek D., Shimizu A., Kobatake H.

: Advances in Computer Science and Technology . IASTED international conference 2007 /3./, p. 1-7

: IASTED International Conference on Advances in Computer Science and Technology 2007 /3./, (Phuket, TH, 02.04.2007-04.04.2007)

: CEZ:AV0Z10750506

: 1ET101050403, GA AV ČR, 1M0572, GA MŠk

: medical image analysis, bioinformatics, pattern recognition

(eng): 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.

(cze): Navrhuje se vylepšení ko-okurenční metody pro 2D nebo 3D segmentaci medicínských obrázků. Ko-okurenční matice se počítá tak, že každá ko-okurence se váží vzdáleností od bodu, pro který se matice počítá.

: IN

2019-01-07 08:39