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Content Provider | IET Digital Library |
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Author | Nongmeikapam, Kishorjit Kumar, Wahengbam Kanan Singh, Aheibam Dinamani |
Abstract | Fuzzy C-means algorithm is a popular image segmentation algorithm and many researchers in the past have introduced several improved versions of it. However, they still lacked robustness for segmenting key regions of magnetic resonance (MR) human brain transversal images such as white matter, grey matter, and cerebro spinal fluid with an almost similar contouring of the edges. This study highlights a robust algorithm that is effective in four ways: (i) a distinct contrast between different regions of the human brain, (ii) reduce noise as a result of the contrast stretching procedure, (iii) efficient analysis using both grey scale segmented image and its colour segmented version, and (iv) striking a balance between time consumption and image segmentation results. These objectives have been achieved in two phases: first, MR image segmentation using fast and automatically adjustable Gaussian radial basis function kernel based fuzzy C-means (FAAGKFCM) algorithm which utilises a new objective function that incorporates a similarity measure having both spatial and grey level measure factor (Sij ), an adaptive factor (wi ) to remove discrepancy of grey scale image, and using a Gaussian radial basis function (GRBF) kernel-based distance metric in place of the traditional Euclidean distance metric. Second, converting FAAGKFCM segmented image into CIE L*a*b* colour space and successively performing cluster-wise feature extraction using hard k-means clustering. |
Starting Page | 513 |
Ending Page | 524 |
Page Count | 12 |
ISSN | 17519659 |
Volume Number | 12 |
e-ISSN | 17519667 |
Issue Number | Issue 4, Apr (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/4 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1102 |
Journal | IET Image Processing |
Publisher Date | 2017-11-22 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Algebra Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Cluster-wise Coloured Feature Extraction Colour Segmented Version Combinatorial Mathematics Computer Vision And Image Processing Technique FAAGKFCM Algorithm Fast And Automatically Adjustable Gaussian Radial Basis Function Kernel Based Fuzzy C-means Algorithm Fuzzy Set Theory Graph Theory GRBF Kernel Based Fuzzy C-means Grey Scale Segmented Image Image Colour Analysis Image Segmentation Magnetic Resonance Human Brain Transversal Image Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy MR Image Segmentation Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Radial Basis Function Network Set Theory Spectroscopy |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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