MR Image Segmentation Based on Contrast Enhancement with Collaborative Learning
Journal Title: Advances in Image and Video Processing - Year 2018, Vol 6, Issue 1
Abstract
Magnetic resonance imaging (MRI) has been widely used on clinical applications. Due to different weighting strategies MRI, different weighting images have different contrast even for the same anatomy structure of the same subject. Since some MR brain images have low contrast, different types of tissues such as white matter, grey matter, and cerebrospinal fluid (CSF) are difficult to be divided and segmented. Image contrast needs to be enhanced for better post-processing and image analysis. In this paper, a two-step MR brain image segmentation technique is proposed to solve low contrast MR image segmentation problem. A collaborative learning based image enhancement is firstly applied on low contrast MR brain image. Then, spectral clustering algorithm is used for segmenting enhanced image. Experimental results illustrate that the proposed 2-step segmentation method is able to identify boundaries between tissues well, so that MR image segmentation accuracy is improved in compared to image segmentation without contrast enhancement and exact histogram equalization enhanced image segmentation.
Authors and Affiliations
Yuchou Chang
Keywords
Related Articles
- EP ID EP265783
- DOI 10.14738/aivp.61.4089
- Views 53
- Downloads 0
Study of High Spot Lands in Irrigated Scheme Using Remote Sensing Data and GIS. Case Study: Rahad Irrigated Scheme, Sudan
The study was carried out in selected sites that cover 1989.8 ha (4735.86 Feddans) in the Rahad Irrigatated Scheme, Gazera State, Sudan. The main objective was to identify the spatial distribution ofHigh Spot Lands that...
A Novel Approach to Fish Disease Diagnostic System based on Machine Learning
Real-Time identification automated system diagnoses fish disease i.e. Epizootic Ulcerative syndrome (EUS) which is caused by Aphanomyces invadans, a fungal pathogen. In this paper we propose a Real- Time fish disease dia...
Local Intensity Ordering based Binary Patterns for Image Region Description
Local image region description is a fundamental task for image feature matching in the field of Computer Vision. A good image region descriptor should have the ability to discriminate image features even though the image...
Participatory Management of Muscles Strengthening of Core Stability and Lower Extremity to Reduce of Premenstrual Syndrome
Competence to reduce of premenstrual syndrome must be have each student, so physically and psychologically able to do activities Tridharma Colleges well. One of the efforts that can reduce of premenstrual syndrome is doi...
Approach to Detecting Forest Fire by Image Processing Captured from IP Cameras
In this paper, the results show an algorithm to detect the presence of smoke and flame using image sequences captured by Internet Protocol (IP) cameras is represented. The important characteristics of smoke such as color...