Title :
Influence of Iterative relaxed median filter over FCM clustering in MR images
Author :
Vijayarajan, R. ; Muttan, S.
Author_Institution :
Dept. of ECE, Anna Univ. Chennai, Chennai, India
Abstract :
Image segmentation plays an important role in the analysis and applications of medical image processing and Impulse noise removal is a complex procedure in MR images. Hence in this paper, Iterative relaxed median filter is proposed to improve Peak signal to noise ratio of the filtered image and influence of Iterative relaxed median filter over Fuzzy C-Means clustering (FCM) in MR images is carried out using Cluster Error Index (CEI). For comparative analysis, median filtering methods such as standard median filter (SMF), adaptive median filter (AMF), hybrid median filter (HMF) and relaxed median filter (RMF) are used. Analysis of noise influence of these median filtering methods over FCM Clustering is done based on two validity measures.
Keywords :
adaptive filters; biomedical MRI; filtering theory; fuzzy set theory; image denoising; image segmentation; impulse noise; median filters; medical image processing; pattern clustering; FCM clustering; MR image; adaptive median filter; cluster error index; fuzzy C-means clustering; hybrid median filter; image filtering; image segmentation; impulse noise removal; iterative relaxed median filter; medical image processing; signal to noise ratio; standard median filter; Biomedical imaging; Clustering algorithms; Filtering; Filtering algorithms; Indexes; PSNR; Adaptive median; Cluster Error Index; FCM; Hybrid median; Relaxed median; Standard median;
Conference_Titel :
India Conference (INDICON), 2011 Annual IEEE
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4577-1110-7
DOI :
10.1109/INDCON.2011.6139355
