Kernelized type-2 fuzzy c-means clustering algorithm in segmentation of noisy medical images

2011 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2011

Volumn , Issue , 2011, Pages 493-498

  Kaur, Prabhjot ^a   Lamba, I M S ^b   Gosain, Anjana ^c  

^a MAHARAJA SURAJMAL INSTITUTE OF TECHNOLOGY   (India)

^b SHARDA UNIVERSITY   (India)

^c GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY   (India)

Author keywords

Fuzzy Clustering; Kernal methods; Kernel based Type 2 fuzzy c means; Robust Image Segmentation; Type 2 Fuzzy C Means

Indexed keywords

CLUSTERING RESULTS; CT SCAN; DATA SPACE; EUCLIDEAN NORM; FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; FUZZY C-MEANS CLUSTERING ALGORITHMS; HIGH DIMENSIONAL SPACES; HOMOGENEOUS GROUP; INDUCED METRIC; INPUT PATTERNS; KERNAL METHODS; KERNEL FUNCTION; KEYPOINTS; MEDICAL IMAGES; MR IMAGES; NON-SPHERICAL; ROBUST IMAGE SEGMENTATION; UNCERTAINTY HANDLING;

CLUSTERING ALGORITHMS; COMPUTATIONAL COMPLEXITY; COPYING; DATA STRUCTURES; DIAGNOSIS; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE SEGMENTATION; MEDICAL IMAGING;

COMPUTERIZED TOMOGRAPHY;

EID: 81355132763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RAICS.2011.6069361     Document Type: Conference Paper

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