Edge Based Compression Using Embedded Zero Wavelet Tree (EBC –EZWT) for Lung Cancer CT Scan Medical Image

Authors

  • C. Thirumoorthi  Assistant Professor, Department of Information and Computer Technology, Hindusthan College of Arts and Science Coimbatore, Tamil Nadu, India

Keywords:

EZW, DCT, DWT,Edge Detection CT Scan and Lung Cancer

Abstract

The main objective of the research is to improve the accuracy through edge based EZW transform and compression algorithms for lung cancer medical image. The research objective also includes the development of the Discrete Cosine Transform (DCT) compression Algorithm and Discrete Wavelet Transform (DWT) Compression to enhance the Predictive Accuracy for Lung cancer CT scan reconstructed medical image. The objective of this work is to implement an innovative image compression system for the detection of lung cancer. Compression images obtained from CT scan image can accurately access the reconstructed cancer cells. Proposed edge detection transform coding by employing embedded zero-tree based compression which facilitates attaining significant compression efficiency.

References

  1. Fukuoka M, Yano S, Giaccone G, Tamura T, Nakagawa K, Douillard JY, Nishiwaki Y, Vansteenkiste J, Kudoh S, Rischin D and Eek R. Multi-institutional randomized phase II trial of gefitinib for previously treated patients with advanced non–small-cell lung cancer. Journal of Clinical Oncology, 2003; 21(12): 2237-2246.
  2. Pretreatment Evaluation of Non–Small-cell Lung Cancer, American Journal of Respiratory and Critical Care Medicine, Vol. 156, No. 1 (1997), pp. 320-332.
  3. Halpern MT, Gillespie BW and Warner KE. Patterns of absolute risk of lung cancer mortality in former smokers. Journal of the National Cancer Institute, 1993; 85(6): 457-464.
  4. Mohammed AA, Hussein JA., Hybrid transform coding scheme for medical image application. In IEEE ISSPIT 10’, 2010; 237-240.
  5. Zhang SQ, Zhang SF, Wang XN, Wang Y. The Image Compression Method Based on Adaptive Segment and Adaptive Quantified. In IEEE 3rd ICICIC'08, 2008; 353-353.
  6. Xie Y, Jing X, Sun S, Hong L. A fast and low complicated image compression algorithm for predictor of JPEG-LS. In IEEE IC-NIDC, 2009; 353-356.
  7. Roy AB, Dey D, Mohanty B and Banerjee D. Comparison of FFT, DCT, DWT, WHT Compression Techniques on Electro cardiogram & Photo plethysmography Signals, AnamitraBardhan Roy -Special Issue of International Journal of Computer Applications (0975 – 8887) International Conference on Computing, Communication and Sensor Network (CCSN) 2012.
  8. Mridul Kumar Mathur, GunjanMathur, Image Compression using DFT through Fast Fourier Transform Technique, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), volume 1, Issue 2, July – August 2012.  
  9. Walaa M. Abd-Elhafiez, WajebGharibi, Color Image Compression Algorithm Based on DCT Blocks, International Journal of Computer Science Issues, IJCSI, vol. 9, Issue 4, July 2012, pp. 323-328.
  10. Singh H, Sharma S., Hybrid Image Compression Using DWT, DCT & Huffman Encoding Techniques. International Journal of Emerging Technology and Advanced Engineering, 2012; 2(10): 300-306.
  11. Anoop Mathew and Bensiker Raja Singh D, -Image Compression using Lifting based DWT‖, International Journal of computers, Information Technology and Engineering, Jan-June 2009.
  12. Elharar.E, Adrian Stern, OferHadar,"A Hybrid Compression Method for Integral Images Using Discrete Wavelet Transform and Discrete Cosine Transform", Member, IEEE, and BahramJavidi, Fellow, IEEE.
  13. Sriram. B, Thiyagarajans. S, -Hybrid Transformation technique for image compression,Journal of theoretical and applied information technology, 31st July 2012 Vol. 41 No.2.
  14. Harjeet pal singh, Sakhi Sharma, Hybrid Image Compression Using DWT, DCT & Huffman Encoding Techniques International Journal of Emerging Technology and Advanced Engineering, (ISSN 2250-2459, Volume 2, Issue 10, October 2012.
  15. Dr.T.Karthikeyan,C.Thirumoorthi, "A Survey on Embedded Zero Tree Wavelet", International Journal of Computer Science (IJCS), ISSN: 2348-6600, Vol.2, Issue 2, No: 3, Ref-ID: IJCS-061, Page No: 353-357, October- 2014.
  16. Dr.T. Karthikeyan,C.Thirumoorthi,"Easy Optimization of Image Transformation using sFFT Algorithm with HALIDE Language", in International IEEE Conference on "Contemporary Computing and Informatics (IC3I 2014)" published in IEEE xplore, Pages : 1188 - 1190 (2014), ISSN: 978-1-4799-6629-5/14, November 2014.
  17. Dr.T. Karthikeyan,C.Thirumoorthi, "Embedded zero tree Wavelet (EZW) Algorithm based Image Transformation for Easy Optimization with HALIDE Language", International Journal of Applied Engineering Research (IJAER), ISSN 0973-4562 ,Vol. 10, No.55, pp. 1551-1554, June 2015.
  18. Dr.T. Karthikeyan,C.Thirumoorthi, "Medical image compression technique with transform method for lung cancer CT scan image: A Review", in International Journal of control Theory and Applications (IJCT) (ISSN 0974-5572), International science press, Serials publications,  volume 9, issue 26, pp 193-200, August 2016.
  19. Dr.T. Karthikeyan,C.Thirumoorthi, "A novel approach on discrete cosine transform based image compression technique for lung cancer", Biosciences Biotechnology Research Asia (BBRA), Vol. 13, issue 3, page no: 1679-1688, September 2016.
  20. Dr.T. Karthikeyan,C.Thirumoorthi, "A hybrid medical image compression techniques for lung cancer", Indian Journal of Science and Technology (IJST) (ISSN (Print):0974-6846 ISSN (Online):0974-5645), Volume 9, Issue 39, pp 1-6, October 2016.
  21. Dr.T. Karthikeyan,C.Thirumoorthi, "A study on discrete wavelet transform compression algorithm for medical images", in Biomedical Research, Allied Academies Journals (ISSN 0970-938X (print) 0976-1683 (Electronic)), volume 28 , issue 4 , page no 1574-1580, February 2017.
  22. (C.Thirumoorthi) "An Efficient Classification for Detecting Diabetes Mellitus and NonProliferative Diabetic Retinopathy by using PSVM Classifiers", International Journal of Computer Systems (IJCS),ISSN: 2394-1065, Volume 02, Issue 06,No:263-272, June- 2015.
  23. (C.Thirumoorthi) "Advanced Polling by IRIS Technology with Cloud Computing and  GAIC Algorithm using Biometric Security", International Journal of Computer Science (IJCS),ISSN: 2348-6600, Volume 4, Issue 1,No 1,Reference ID: IJCS-107, Page No:620-624, January – 2016.
  24. (C.Thirumoorthi) "A New Approach on Crime Detection With Data Mining and Cloud Computing", International Journal of Computer Science (IJCS),ISSN: 2348-6600, Vol.2, Issue 2,No:2, Ref-ID:IJCS-059,Page No:343-347, September- 2014.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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How to Cite

[1]
C. Thirumoorthi, " Edge Based Compression Using Embedded Zero Wavelet Tree (EBC –EZWT) for Lung Cancer CT Scan Medical Image, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.653-659, March-April-2018.