The week's pick
Reseach Article
Devlopment of Fuzzy Based Image Filtering Techniques to Enhance Lung lobe Images
| 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) |
| Foundation of Computer Science USA |
| NCIPET - Number 3 |
| March 2012 |
| Authors: Aparna D. Desmukh, Sapna S. Khapre, Pooja B. Aher |
| 91d0cfe1-55bb-4bbe-9b7e-ec7f8d0cd24b |
Aparna D. Desmukh, Sapna S. Khapre, Pooja B. Aher . Devlopment of Fuzzy Based Image Filtering Techniques to Enhance Lung lobe Images. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 3 (March 2012), 26-29.
Abstract
A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform fuzzy smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules which make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. In particular, the shape of the membership functions is adapted according to the remaining noise level after each iteration, making use of the distribution of the homogeneity in the image. A statistical model for the noise distribution can be incorporated to relate the homogeneity to the adaptation scheme of the membership functions. Experimental results are obtained to show the feasibility of the proposed approach. These results are also compared to other filters by numerical measures and visual inspection.
References
- Dmitri Van De Ville, Mike Nachtegael DietrichVan der Weken, Etienne E Kerre Kerre,Wilfried Philips and Ignace Lemahieu,”Noise Reduction by Fuzzy Image Filtering”, IEEE transactions on fuzzy systems,vol. 11,no.4, August 2003
- Qiao wei,Yapoing Hu,”Segmentation of Lung Lobes in High Resolution Isotropic CT images”,IEEE transactions on biomedical engineering,Vol56,No5,May 2009.
- B.N.Raasch, E.W. Carsky, E. J. Lane, J. P.O’Callaghan, and E. R. Heitzman, “Radiographic anatomy of theinterlobar fissures: A study of 100 specimens,” Amer. J. Roentgenol., vol. 138, pp. 647–554, 1982.
- Jiantao Pu, Bin Zheng, Joseph K.Leader,Carl Fuhrman, Friedrich Knollmann, Amy Klym, and David Gur, ”Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting”, IEEE transactions on medical imaging, vol. 28, no. 12, December 2009.
- Takahiro Ohkawal, Syoji Kobashi', Katsuya Kondo',Yutaka Hatal, Tonioham Nakaiio ”Tubular Tissue-Based Segmentation Of Lung Lobes From Chest Mdct Images”, Cancer and horacicSurgery, Graduate School of Medicine, Okayama University, 2003.
- M. Kubo, N. Niki, S. Nakagawa, K. Eguchi, M Kaneko, N. Moriyama,H. Omatsu, R. Kakinuma and N. Yamaguchi, “Extraction algorithm of pulmonary fissures from thin-section National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2012) Proceedings published by International Journal of Computer Applications® (IJCA) 104 CT images based on linear feature detector method,” IEEE Trans. Nucl. Sci., vol. 46, no. 6, pp. 2128–2133, Dec. 1999.
- M. Kubo, Y. Kawata, N. Niki, K. Eguchi, H.Ohmatsu, R. Kakinuma, M. Kaneko, M. Kusumoto, N. Moriyama, K. Mori, and H. Nishiyama, “Automatic extraction of pulmonary fissures from multidetector-row CT images,” in Proc. IEEE Int Conf. Imag. Process. (ICIP), pp. 1091– 1094 , 2005.
- Yoshinori itai,seji ishikawa,”Automatic segmentation of lung areas based on snakes and extraction of abnormal areas”, 2005
- J.Wang, M. Betke, and J. P. Ko, “Pulmonary fissure segmentation on CT,”Med. Imag. Anal,vol. 10, pp. 530– 547, 2006.
- Segmentation of Lung Lobes in Isotropic CT Images Using Wavelet Transformation Q. Wei, Student Member, IEEE, Y. Hu, Member, IEEE G. Gelfand, and J. H. Mac Gregor,Proceedingsof the 29th Annual InternationalConference of the IEEE EMBSCite Iternationale, Lyon,France August 23-26, 2007.
- L.Zhang, E. A. Hoffman, and J. M. Reinhardt, “Atlasdriven lung lobe segmentation in volumetric X-ray CT images,” IEEE Trans. Med. Imag., vol. 25, no. 1, pp. 1–16, Jan. 2006.
- M.Hari Krishnan, R. Viswanathan, “Applications of Advanced Fuzzy Logic Techniques in Fuzzy Image Processing Scheme”, Advances in Fuzzy Mathematics, Volume 5, Number 1 (2010), pp. 71–76, Research India Publications.
- Munther N. Baker, Ali A. Al-Zuky ,” Color Image Noise Reduction Using Fuzzy Filtering “,Journal of Engineering and Development, Vol. 12, No. 2, June (2008).
- Ayyaz Hussain, M. Arfan Jaffar, Zia Ul- Qayyum, Directional Weighted Median Based Fuzzy Filter For Random-Valued Impulse Noise Removal”, Icic International C2010 Issn 2185-2766, Volume 1, Number 1, September 2010.
- Dimitri Van De Ville, Member, IEEE, Mike Nachtegael, Dietrich Van der Weken, Etienne E.Kerre, Wilfried Philips, “Noise Reduction by Fuzzy Image Filtering”, IEEE transactions on fuzzy systems, vol. 11, no. 4, august 2003.
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