IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 3    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 3,March 2012
The Segmentation of FMI Image Layers Based on FCM Clustering and Otsu thresholding
Full Text(PDF, )  PP.458-462  
J. Gholampour, A.A. Pouyan
— FMI, Segmentation, Otsu, FCM, Thresholding, KNN, Clustering
A key aspect in extracting quantitative information from FMI logs is to segment the FMI image to get image of layers. In this paper, an automatic method based on FCM clustering and Otsu thresholding is introduced in order to extract quantitative information from FMI images. All pixels are clustered using FCM clustering algorithm at the first step. The second step uses KNN for other clustering. Then, uncovered columns of FMI image and image inequality are removed. Finally, the Otsu thresholding method is investigated for improving pixel-clustering step. Filed data processing examples show that sub image of layers can be accurately seprated from original FMI images
[1] S.M. Luthi, ―Geological well logs: their use in reservoir modeling‖, Springer, 1990.

[2] S.K. Pal, J.F. Peters, ―Rough Fuzzy Image Analysis: Foundations and Methodologies‖, CRC Press.

[3] L.R. Lin, W.Y. Qi,L. J. Hua, and M. Yong, ―The Segmentation of FMI Image Based on 2-D Dyadic Wavelet Transform‖, Geophysics, Vol. 2, No. 2,June 2005.

[4] A.A. pouyan, H. Hassanpour, and H. Dehghan, ―SVM-based Diagnosis of the Alzheimer’s Disease using 18F-FDG PET with Fisher Discriminant Rate‖, The 18th Iranian Conference of Biomedical Engineering (ICBME2011).

[5] J. C. Bezdek, ―Pattern Recognition with Fuzzy Objective Function Algoritms‖, Plenum Press, New York, 1981.

[6] Z.K. Huang, P.W. Li, S.Q.Wang, and L.Y. Hou, ―Using FCM for Color Texture Segmentation Based Multirscale Image Fusion‖, International Conference on e-Education, e-Business, e-Management and eLearning, IEEE2010.

[7] P. Pallabi, T. Bhavani, ―Face Recognition Using Multiple Classifiers‖, 18th IEEE International Conference on Tools with Artificial Intelligence, pp. 179-186, 2006.

[8] M.N. Mansor, S. Yaacob, R. Nagarajan, L.S. Che,M.Hariharan, and M. Ezanuddin , Detection of Facial Changes for ICU Patients Using KNN Classifier, International Conference on Intelligent and Advanced Systems(ICIAS),IEEE, 2010

[9] R.C.Gonzalez and R.E .Woods, ―Digital image processing‖, 2nd Edition,Prentice-Hall 2002. N.

[10] Otsu, ―A threshold selection method from gray-level histogram ‖, IEEE Transactions on System Man Cybernetics, Vol. SMC-9, No. 1: 62-66, 1979.

[11] S.S. Reddi, S.F. Rudin, and H.R. Keshavan, ―An optimal multiple threshold scheme for image segmentation,‖ IEEE Trans. System Man Cybernet. 14(4): 661–665, 1984.

Untitled Page