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Pre-Processing Of Automatic Skin Cancer Detection System: Comparative Study

Open Access
|Sep 2014

References

  1. S. Maryam, R. Majid, T.K. Lee, M.Stella Atkins, “A novel method for detection of pigment network in dermoscopic images using graphs”, Computerized Medical Imaging and Graphics, 35(2):137-43, 2011.10.1016/j.compmedimag.2010.07.00220724109
  2. S. Muhamad Isa, M. Eka Suryana, M. Ali Akbar, A. Noviyanto, W. Jatmiko and A. Murni Arymurthy, “Performance Analysis of ECG Signal Compression using SPIHT”, International Journal On Smart Sensing And Intelligent Systems Vol. 6, No. 5, 2013.10.21307/ijssis-2017-624
  3. Y. LUO, P. LIU, M. LIAO,” An artificial immune network clustering algorithm for mangroves remote sensing image”, International Journal On Smart Sensing And Intelligent Systems Vol. 7, No. 1, 2014.10.21307/ijssis-2017-648
  4. S. Alina, C. Mihai Ciuc, T. Radulescu, L. Wanyu, D.Petrache, “Preliminary Work on Dermatoscopic Lesion Segmentation,” 20th European Signal Processing Conference (EUSIPCO 2012), August 21-27, Romania, 2012.
  5. D. Chang, W. Wu, “Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation”, IEEE Transactions on Medical Imaging, Vol. 17, No. 4, 1998.10.1109/42.7303979845308
  6. K. Madhankuma, and P. Kumar, “Characterization of Skin Lesions”, Proceedings of the International Conference on Pattern Recognition, Informatics and Medical Engineering, March 21-23, India, 201210.1109/ICPRIME.2012.6208362
  7. M.Sadeghi, M.Razmara, T.K. Lee, M.S. Atkins,” A novel method for detection of pigment network in dermoscopic images using graphs”, Computerized Medical Imaging and Graphics 35, 137–143, 2011.10.1016/j.compmedimag.2010.07.002
  8. K.A. Norton, H. Iyatomi, M. Emre Celebi, G. Schaefer, M. Tanaka, and K. Ogawa, “Development of a Novel Border Detection Method for Melanocytic and Non-Melanocytic Dermoscopy Images”, 32nd Annual International Conference of the IEEE EMBS Buenos Aires, Argentina, August 31 - September 4, 2010.10.1109/IEMBS.2010.562649921096270
  9. H.T. Lau, and A. Al-Jumaily, “Automatically Early Detection of Skin Cancer: Study Based on Neural Network Classification”, International Conference of Soft Computing and Pattern Recognition, 4-7 December, Malaysia, 2009.10.1109/SoCPaR.2009.80
  10. D.H. Chung, G. and Sapiro, “Segmenting Skin Lesions with Partial-Differential-Equations-Based Image Processing Algorithms”, IEEE Transactions on Medical Imaging, Vol. 19, No. 7, 2000.10.1109/42.87520411055791
  11. A.N. Hoshyar, A. Al-Jumaily, and R. Sulaiman, “Review on Automatic Early Skin Cancer Detection”, International Conference on Computer Science and Service System (CSSS), 27-29 June, China, 2011.
  12. S.S. Al-amri, N.V. Kalyankar, and S.D. Khamitkar, “Linear and Non-linear Contrast Enhancement Image”, IJCSNS International Journal of Computer Science and Network Security, Vol.10, No.2, pp. 139, 2010.
  13. S.S. Agaian, K.P. Lentz, and A.M. Grigoryan, “A New Measure of Image Enhancement”, International Conference on Signal Processing & Communication, 5-9 June, 2000.
  14. L. R. Lagendijk, and J. Biemond, “Basic Methods for Image Restoration and Identification”, Handbook of Image and Video Processing 2nd edition, Elsevier Academic Press, 167-181, 2005.10.1016/B978-012119792-6/50074-7
  15. R.C. Gonzalez, and R.E. Woods, “Digital Image Processing”, 3rd Edition, Prentice-all, Inc., New Jersey, ISBN: 10: 013168728x, pp: 594, 2008.
  16. I. Maglogiannis, and C.N. Doukas, “Overview of Advanced Computer Vision Systems for Skin Lesions Characterization”, IEEE Transactions on Information Technology in Biomedicine, Vol. 13, N. 5, 200910.1109/TITB.2009.201752919304487
  17. M.J. Ogorzaáek, G. Surówka, L. Nowak, and C. Merkwirth, “New Approaches for Computer-Assisted Skin Cancer Diagnosis”, The Third International Symposium on Optimization and Systems Biology (OSB’09), 20-22 September, China, 2009
  18. J. Mesquita, “Classification of Skin Tumours through the Analysis of Unconstrained Images”, De Montfort University Leicester, Faculty of Computer Science and Engineering, UK, 2008.
  19. H. Yeganeh, A. Ziaei, A.H. Rezaie, “A Novel Approach for Contrast Enhancement Based on Histogram Equalization”, Proceedings of the International Conference on Computer and Communication Engineering, 13-15 May, Malaysia, 2008.10.1109/ICCCE.2008.4580607
  20. V.P. Vishwakarma, S. Pandey and M. N. Gupta,” Adaptive Histogram Equalization and Logarithm Transform with Rescaled Low Frequency DCT Coefficients for Illumination Normalization”, International Journal of Recent Trends in Engineering, Vol.1, No. 1, 2009.
  21. C.W. Kurak, “Adaptive histogram equalization: a parallel implementation”, Proceedings of the Fourth Annual IEEE Symposium in Computer-Based Medical Systems, Univ. of North Florida, Jacksonville, FL, USA,1991.
  22. X. Xiaoling, and X. Zhang, “An Improved Unsharp Masking Method for Borehole Image Enhancement”, 2nd International Conference on Industrial Mechatronics and Automation,30-31 May, China, 2010.10.1109/ICINDMA.2010.5538297
  23. D. Prasanna, P.Neelamegam, S.Sriram, N.Raju,” Enhancement of vein patterns in hand image for biometric and biomedical application using various image enhancement techniques”, International Conference On Modeling Optimization And Computing, Procedia Engineering, Vol 38, pp. 1174 – 1185, 2012.
  24. S.H. Rubin, R. Kountchev, V. Todorov, and R. Kountcheva, “Contrast Enhancement with Histogram-Adaptive Image Segmentation”, IEEE International Conference on Information Reuse and Integration, 16-18 Sep, USA, 2006.10.1109/IRI.2006.252482
  25. H. Zhang, “Spatially Adaptive Wiener Filtering For Image Denoising Using Undecimated Wavelet Transform”, ELEC 590 project report, Deaprtment of Electrical and Computer Engineering, USA, 1999.
  26. N. Otsu, “A Threshold Selection Method from Gray Level Histograms,” IEEE Trans SMC, Vol. 9, pp. 62–66, 1979.10.1109/TSMC.1979.4310076
  27. M.P. Dubuisson, and A.K. Jain, “A modified Hausdorff distance for object matching”, Proceedings of the 12th IAPR International Conference on Computer Vision & Image Processing, Vol. 1, 9-13 Oct, Jerusalem, 1994.
  28. L. Wang, Y. Zhang, and J. Feng, “On the Euclidean Distance of Images”, Center for Information Sciences, School of Electronics Engineering and Computer Sciences, Peking University, China, 2002.
  29. S.Varshney, N. Rajpa, and R. Purwar, “Comparative Study of Image Segmentation Techniques and Object Matching using Segmentation”, International Conference on Methods and Models in Computer Science, 14-15 Dec, India, 2009.
Language: English
Page range: 1364 - 1377
Submitted on: Oct 31, 2014
Accepted on: Sep 1, 2014
Published on: Sep 1, 2014
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2014 Azadeh N. Hoshyar, Adel .A. Jumaily, Afsaneh N. Hoshyar, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.