메뉴 건너뛰기




Volumn 9, Issue 1, 2012, Pages

A robust segmentation approach for noisy medical images using fuzzy clustering with spatial probability

Author keywords

Clustering; Denoising; FCM; Histogram; Image segmentation; Local pixel grouping (LPG); Magnetic resonance imaging (MRI); Medical images; Membership function; Principal component analysis (PCA); Spatial probability

Indexed keywords


EID: 83255188893     PISSN: 16833198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (49)
  • 5
    • 0027275316 scopus 로고
    • Review of MR image segmentation techniques using pattern recognition
    • Bezdek J., Hall L., and Clarke L., "Review of MR Image Segmentation Techniques Using Pattern Recognition," Computer Journal of Medical Physics, vol. 20, no. 4, pp.1033-1048, 1993.
    • (1993) Computer Journal of Medical Physics , vol.20 , Issue.4 , pp. 1033-1048
    • Bezdek, J.1    Hall, L.2    Clarke, L.3
  • 6
    • 3543098627 scopus 로고    scopus 로고
    • Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
    • Chen S. and Zhang D., "Robust Image Segmentation Using FCM with Spatial Constraints Based on New Kernel-Induced Distance Measure," Computer Journal of IEEE Transactions on Systems, Man, and Cybernetics, vol. 34, no. 4, pp.1907-1916, 2004.
    • (2004) Computer Journal of IEEE Transactions on Systems, Man, and Cybernetics , vol.34 , Issue.4 , pp. 1907-1916
    • Chen, S.1    Zhang, D.2
  • 8
    • 0027850154 scopus 로고
    • Correction of intensity variations in MR image for computer-aided tissue classification
    • Dawant B., Zijidenbos A., and Margolin R., "Correction of Intensity Variations in MR Image for Computer-Aided Tissue Classification," IEEE Transactions on Medical Imaging, vol. 12, no. 4, pp.770-781, 1993.
    • (1993) IEEE Transactions On Medical Imaging , vol.12 , Issue.4 , pp. 770-781
    • Dawant, B.1    Zijidenbos, A.2    Margolin, R.3
  • 9
    • 23044449890 scopus 로고    scopus 로고
    • Color clustering and learning for image segmentation based on neural networks
    • Dong G. and Xie M., "Color Clustering and Learning for Image Segmentation Based on Neural Networks," Compute IEEE Transactions on Neural Networks, vol.16, no.4, pp. 925-936, 2005.
    • (2005) Compute IEEE Transactions on Neural Networks , vol.16 , Issue.4 , pp. 925-936
    • Dong, G.1    Xie, M.2
  • 11
    • 0015644825 scopus 로고
    • A fuzzy relative of the isodata process and its use in detecting compact well separated clusters
    • Dunn J., "A Fuzzy Relative of the ISODATA Process and its use in Detecting Compact Well Separated Clusters," Journal of Cybernetics, vol.3, no.3, pp. 32-57, 1974.
    • (1974) Journal of Cybernetics , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.1
  • 12
    • 0037410688 scopus 로고    scopus 로고
    • Suppressed fuzzy c-means clustering algorithm
    • Fan J., Zhen W., and Xie W., "Suppressed Fuzzy C-Means Clustering Algorithm," Pattern Recognition Letters, vol. 24, no. 9-10, pp. 1607- 1612, 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.9-10 , pp. 1607-1612
    • Fan, J.1    Zhen, W.2    Xie, W.3
  • 17
    • 32644443104 scopus 로고    scopus 로고
    • Parameter selection for suppressed fuzzy c-means with an application to mri segmentation
    • Hung W., Yang M., and Chen D., "Parameter Selection for Suppressed Fuzzy C-Means with an Application to MRI Segmentation,' Pattern Recognition Letters, vol. 27, no. 5, pp. 424-438, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.5 , pp. 424-438
    • Hung, W.1    Yang, M.2    Chen, D.3
  • 18
    • 0030126711 scopus 로고    scopus 로고
    • Segmentation of multiple sclerosis lesions in intensity corrected multispectral mri
    • Johnson B., Atkins M., Mackiewich B., and Andson M., "Segmentation of Multiple Sclerosis Lesions in Intensity Corrected Multispectral MRI," IEEE Transactions on Medical Imaging, vol. 15, no. 2, pp. 154-169, 1996
    • (1996) IEEE Transactions on Medical Imaging , vol.15 , Issue.2 , pp. 154-169
    • Johnson, B.1    Atkins, M.2    Mackiewich, B.3    Andson, M.4
  • 20
    • 0031055222 scopus 로고    scopus 로고
    • Magnetic resonance imaging (MRI): Considerations and applications in radiotherapy treatment planning
    • Khoo V., Dearnaley D., Finnigan D., Padhani A., Tanner S., and Leach M., "Magnetic Resonance Imaging (MRI): Considerations and Applications in Radiotherapy Treatment Planning," Radiotherapy and Oncology, vol. 42, pp.1-15, 1997.
    • (1997) Radiotherapy and Oncology , vol.42 , pp. 1-15
    • Khoo, V.1    Dearnaley, D.2    Finnigan, D.3    Padhani, A.4    Tanner, S.5    Leach, M.6
  • 21
    • 53849098345 scopus 로고    scopus 로고
    • A hierarchical evolutionary algorithm for automatic medical image segmentation
    • Lai C. and Chang C., "A Hierarchical Evolutionary Algorithm for Automatic Medical Image Segmentation,' An International Journal Expert Systems with Applications, vol. 36, no. 1, pp. 248-259, 2009.
    • (2009) An International Journal Expert Systems With Applications , vol.36 , Issue.1 , pp. 248-259
    • Lai, C.1    Chang, C.2
  • 22
    • 0031932403 scopus 로고    scopus 로고
    • Brain abnormality in schizophrenia: A systematic and quantitative review of volumetric magnetic resonance imaging studies
    • Larie S. and Abukmeil S., "Brain Abnormality in Schizophrenia: a Systematic and Quantitative Review of Volumetric Magnetic Resonance Imaging Studies,' The British Journal of Psychiatry, vol. 172, pp. 110-120, 1998.
    • (1998) The British Journal of Psychiatry , vol.172 , pp. 110-120
    • Larie, S.1    Abukmeil, S.2
  • 23
    • 26844546953 scopus 로고    scopus 로고
    • Image segmentation based on adaptive cluster prototype estimation
    • Liew A., Yan H., Law N., "Image Segmentation Based on Adaptive Cluster Prototype Estimation,' IEEE Transactions on Fuzzy Systems, vol. 13, no.4, pp. 444-453, 2005.
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.4 , pp. 444-453
    • Liew, A.1    Yan, H.2    Law, N.3
  • 30
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • Pal N. and Pal S., "A Review on Image Segmentation Techniques," Pattern Recognition, vol. 26, no. 9, pp. 1277-1294, 1993.
    • (1993) Pattern Recognition , vol.26 , Issue.9 , pp. 1277-1294
    • Pal, N.1    Pal, S.2
  • 31
  • 32
    • 0032843554 scopus 로고    scopus 로고
    • An adaptive fuzzy cmeans algorithm for image segmentation in the presence of intensity inhomogeneities
    • Pham D., and Prince J., "An Adaptive Fuzzy CMeans Algorithm for Image Segmentation in the Presence of Intensity Inhomogeneities,' Pattern Recognition Letters, vol. 20, no. 1, pp. 57-68, 1999.
    • (1999) Pattern Recognition Letters , vol.20 , Issue.1 , pp. 57-68
    • Pham, D.1    Prince, J.2
  • 33
    • 0034575445 scopus 로고    scopus 로고
    • A survey of current methods in medical image segmentation
    • Pham D., Xu C., and Prince J., "A Survey of Current Methods in Medical Image Segmentation,' Annual Review of Biomedical Engineering, vol. 2, pp. 315-337, 2000.
    • (2000) Annual Review of Biomedical Engineering , vol.2 , pp. 315-337
    • Pham, D.1    Xu, C.2    Prince, J.3
  • 34
    • 79957609135 scopus 로고    scopus 로고
    • Image segmentation based on watershed and edge detection techniques
    • Salman N., "Image Segmentation Based on Watershed and Edge Detection Techniques,' The International Arab Journal of Information Technology, vol. 3, no. 2, pp. 104-110, 2006.
    • (2006) The International Arab Journal of Information Technology , vol.3 , Issue.2 , pp. 104-110
    • Salman, N.1
  • 36
    • 0029112763 scopus 로고
    • Invited review: Computer aids for decision-making in diagnostic radiology - a literature review
    • Taylor P., "Invited Review: Computer Aids for Decision-Making in Diagnostic Radiology - a Literature Review,' The British Journal of Radiology, vol. 68, pp. 945-957, 1995.
    • (1995) The British Journal of Radiology , vol.68 , pp. 945-957
    • Taylor, P.1
  • 37
    • 0032187761 scopus 로고    scopus 로고
    • On applying spatial constraints in fuzzy image clustering using a fuzzy rule based system
    • Tolias Y. and Panas S., "On Applying Spatial Constraints in Fuzzy Image Clustering using a Fuzzy Rule Based System,' IEEE Signal Processing Letters, vol. 5, pp. 245-247, 1998.
    • (1998) IEEE Signal Processing Letters , vol.5 , pp. 245-247
    • Tolias, Y.1    Panas, S.2
  • 38
    • 0032070619 scopus 로고    scopus 로고
    • Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions
    • Tolias Y. and Panas S., "Image Segmentation by a Fuzzy Clustering Algorithm using Adaptive Spatially Constrained Membership Functions,' IEEE Transactions on Systems, Man, Cybernetics, vol. 28, no. 3, pp. 359-369, 1998.
    • (1998) IEEE Transactions on Systems, Man, Cybernetics , vol.28 , Issue.3 , pp. 359-369
    • Tolias, Y.1    Panas, S.2
  • 42
    • 0036779072 scopus 로고    scopus 로고
    • Alternative C-means clustering algorithms
    • Wu K. and Yang M., "Alternative C-Means Clustering Algorithms," Pattern Recognition, vol. 35, no. 10, pp. 2267-2278, 2002.
    • (2002) Pattern Recognition , vol.35 , Issue.10 , pp. 2267-2278
    • Wu, K.1    Yang, M.2
  • 44
    • 31144462162 scopus 로고    scopus 로고
    • Fuzzy c-means clustering algorithm with a novel penalty term for image segmentation
    • Yang Y., Zheng C., and Lin P., "Fuzzy C-Means Clustering Algorithm with a Novel Penalty Term for Image Segmentation,' Opto-Electronics Review, vol. 13, no. 4, pp. 309-315, 2005.
    • (2005) Opto-Electronics Review , vol.13 , Issue.4 , pp. 309-315
    • Yang, Y.1    Zheng, C.2    Lin, P.3
  • 45
    • 36248955159 scopus 로고    scopus 로고
    • Molecular image segmentation based on improved fuzzy clustering
    • Yu J. and Wang Y., "Molecular Image Segmentation Based on Improved Fuzzy Clustering," Journal of Biomedical Imaging, vol. 2007, no. 1687, pp. 1-9, 2008.
    • (2008) Journal of Biomedical Imaging , vol.2007 , Issue.1687 , pp. 1-9
    • Yu, J.1    Wang, Y.2
  • 46
    • 74449091858 scopus 로고    scopus 로고
    • Two-Stage image denoising by principal component analysis with local pixel grouping
    • Zhang L., Dong W., Zhang D., and Shi G., 'Two- Stage Image Denoising by Principal Component Analysis with Local Pixel Grouping', Pattern Recognition, vol. 43, pp. 1531-1549, 2010.
    • (2010) Pattern Recognition , vol.43 , pp. 1531-1549
    • Zhang, L.1    Dong, W.2    Zhang, D.3    Shi, G.4
  • 48
    • 0028686711 scopus 로고
    • Brain segmentation and white matter lesion detection in mr images
    • Zijdenbos A. and Dawant B., "Brain Segmentation and White Matter Lesion Detection in MR Images,' Critical Reviews in Biomedical Engineering, vol. 22, pp. 401-465, 1994.
    • (1994) Critical Reviews in Biomedical Engineering , vol.22 , pp. 401-465
    • Zijdenbos, A.1    Dawant, B.2
  • 49
    • 78650369192 scopus 로고    scopus 로고
    • An effective approach for segmentation of MRI images: Combining spatial information with fuzzy C-means clustering
    • Zulaikha S. and Mohamed M., "An Effective Approach for Segmentation of MRI Images: Combining Spatial Information with Fuzzy CMeans Clustering,' European Journal of Scientific Research, vol. 41, no. 3, pp. 437-451, 2010.
    • (2010) European Journal of Scientific Research , vol.41 , Issue.3 , pp. 437-451
    • Zulaikha, S.1    Mohamed, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.