Fuzzy Algorithm for Segmentation of Images in Extraction of Objects from MRI

被引:0
|
作者
Kubicek, Jan [1 ]
Penhaker, Marek [1 ]
机构
[1] VSB Tech Univ Ostrava, FEI, Dept Cybernet & Biomed Engn, 17 Listopadu 15, Ostrava 70833, Czech Republic
关键词
fuzzy logics; MATLAB; image segmentation; object detection; image histogram; ARTICULAR-CARTILAGE; VIVO;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The paper discusses a suitable segmentation method for extraction of specific objects from Magnetic Resonance Imaging (MRI). A particular attention is paid to detection and extraction of articular tissues from knee images. This is a pressing issue for physicians because MRI reveals often damage to articular cartilage which is shown by a minor change in a brightness scale. The image segmentation can provide a detailed colour map which shows distribution of the tissue densities. This algorithm is based on detection of local extremes in histogram and uses a membership function in order to allocate each image density into an output set. Each such set is given a colour from a predefined colour spectrum. This procedure can easily differentiate between the tissue structures based on the tissue densities.
引用
收藏
页码:1422 / 1427
页数:6
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