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

来源：

2014 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2014年

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

页码：1422 / 1427

页数：6