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An Empirical Study on Some Image Enhancement Techniques towards Identification of Chronical Diseases

by Sreekanth Puli, M. James Stephen, P. V. G. D. Prasad Reddy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 44
Year of Publication: 2020
Authors: Sreekanth Puli, M. James Stephen, P. V. G. D. Prasad Reddy
10.5120/ijca2020919954

Sreekanth Puli, M. James Stephen, P. V. G. D. Prasad Reddy . An Empirical Study on Some Image Enhancement Techniques towards Identification of Chronical Diseases. International Journal of Computer Applications. 177, 44 ( Mar 2020), 8-12. DOI=10.5120/ijca2020919954

@article{ 10.5120/ijca2020919954,
author = { Sreekanth Puli, M. James Stephen, P. V. G. D. Prasad Reddy },
title = { An Empirical Study on Some Image Enhancement Techniques towards Identification of Chronical Diseases },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2020 },
volume = { 177 },
number = { 44 },
month = { Mar },
year = { 2020 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number44/31199-2020919954/ },
doi = { 10.5120/ijca2020919954 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:48:35.802248+05:30
%A Sreekanth Puli
%A M. James Stephen
%A P. V. G. D. Prasad Reddy
%T An Empirical Study on Some Image Enhancement Techniques towards Identification of Chronical Diseases
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 44
%P 8-12
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Detection and analysis in medical images, image enhancement techniques are one of the most important phases. The main aim of Image enhancement is to produce with suitable image and representation of the transformed image. These enhanced medical images can be used identification of chronical diseases. A lot of work has been done by different researchers and scientists in the field of image enhancement in the recent past. This paper discusses previous research work about the some image enhancement techniques towards identification of chronical diseases and tried to find the most suitable and appropriate image enhancement techniques identification of chronical diseases.

References
  1. Leonardo Rundo, Andrea Tangherloni .et al “MedGA: A novel evolutionary method for image enhancement in medical imaging systems” Elsevier Expert Systems with Applications, Volume 119,2019, Pages 387-399, ISSN 0957-4174.
  2. MamtaMittal, MamtaMittal, SumitKaur et.al “Deep learning based enhanced tumor segmentation approach for MR brain images” Elsevier, Applied Soft Computing, Volume 78, May 2019, Pages 346-354.
  3. T. M. Shahriar Sazzad, K. M. Tanzibul Ahmmed, M. U. Hoque and M. Rahman, "Development of Automated Brain Tumor Identification Using MRI Images," 2019 IEEE International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox'sBazar, Bangladesh, 2019, pp. 1-4.
  4. H. Zheng et al., "Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement," in IEEE Access, vol. 6, pp. 57856-57867, 2018.
  5. Navdeep Singh, Lakhwinder Kaur, Kuldeep Singh,Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy, Elsevier, Engineering Science and Technology, an International Journal, Volume 22, Issue 3,2019,Pages 736-745,ISSN 2215-0986.
  6. H. E. M. Abdalla and M. Y. Esmail, "Brain Tumor Detection by using Artificial Neural Network," 2018 IEEE International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), Khartoum, 2018, pp. 1-6.
  7. Y. A. Hamad, K. Simonov and M. B. Naeem, "Brain's Tumor Edge Detection on Low Contrast Medical Images," 2018 1st Annual International Conference on Information and Sciences (AICIS), Fallujah, Iraq, 2018, pp. 45-50.
  8. Bora, N. WasimRahman and D. JyotiBora, "Segmentation Techniques for MRI Brain Tumour Images: A Critical Study," 2018 IEEE International Conference on Research in Intelligent and Computing in Engineering (RICE), San Salvador, 2018, pp. 1-5.
  9. Monika Agarwal, Rashima Mahajan, Medical Image Contrast Enhancement using Range Limited Weighted Histogram Equalization, Elsevier, Procedia Computer Science, Volume 125, 2018, Pages 149-156, ISSN 1877-0509.
  10. L. A. Akter and G. Kwon, "Integration of Contourlet Transform and Canny Edge Detector for Brain Image Segmentation," 2018 IEEE Tenth International Conference on Ubiquitous and Future Networks (ICUFN), Prague, 2018, pp. 798-800.
  11. S. P. Archa and C. S. Kumar, "Segmentation of Brain Tumor in MRI Images Using CNN with Edge Detection," 2018 IEEE International Conference on Emerging Trends and Innovations In Engineering And Technological Research (ICETIETR), Ernakulam, 2018, pp. 1-4.
  12. R. Lin, Z. Ye, H. Wang and B. Wu, "Chronic Diseases and Health Monitoring Big Data: A Survey," in IEEE Reviews in Biomedical Engineering, vol. 11, pp. 275-288, 2018.
  13. Varuna Shree, N. & Kumar, “Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network” Springer Brain Informatics March 2018, Volume 5, Issue 1, pp 23–30.
  14. B. V. Ravindra, N. Sriraam and M. Geetha, "Chronic Kidney Disease Detection Using Back Propagation Neural Network Classifier," 2018 IEEE International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India, 2018, pp. 65-68.
  15. Monika Agarwal, Rashima Mahajan, Medical Images Contrast Enhancement using Quad Weighted Histogram Equalization with Adaptive Gama Correction and Homomorphic Filtering, Elsevier ,Procedia Computer Science, Volume 115, 2017, Pages 509-517, ISSN 1877-0509.
  16. K. Viswanath and Shweta, "Enhancement of brain tumor images," 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, 2017, pp. 1894-1898.
  17. Kamil Dimililer, Ahmet İlhan, Effect of Image Enhancement on MRI Brain Images with Neural Networks, Elsevier , Procedia Computer Science, Volume 102,2016, Pages 39-44, ISSN 1877-0509.
  18. Vasupradha Vijay, A.R. Kavitha, S. Roselene Rebecca, Automated Brain Tumor Segmentation and Detection in MRI Using Enhanced Darwinian Particle Swarm Optimization(EDPSO), Elsevier Procedia Computer Science,Volume 92,2016, Pages 475-480,ISSN 1877-0509.
  19. H. Kaur and J. Rani, "MRI brain image enhancement using Histogram Equalization techniques," 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016, pp. 770-773.
  20. K. Bhima and A. Jagan, "An efficient method for identification of anomalies in brain MR images," 2016 IEEE International Conference on Signal and Information Processing (IConSIP), Vishnupuri, 2016, pp. 1-5.
  21. Saranya G and S. N. Devi, "Performance evaluation for image fusion technique in medical images using spatial and transform method," 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016, pp. 446-450.
  22. Chiao-Min Chen, Chih-Cheng Chen.et al,” Automatic Contrast Enhancement of Brain MR Images Using Hierarchical Correlation Histogram Analysis”   Springer Journal of Medical and Biological Engineering December 2015, Volume 35, Issue 6, pp 724–734.
  23. J. Shin and R. Park, "Histogram-Based Locality-Preserving Contrast Enhancement," in IEEE Signal Processing Letters, vol. 22, no. 9, pp. 1293-1296, Sept. 2015.
  24. X. Fu, J. Wang, D. Zeng, Y. Huang and X. Ding, "Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT," in IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 11, pp. 2301-2305, Nov. 2015.
  25. S. N. Sulaiman, N. A. Non, I. S. Isa and N. Hamzah, "Segmentation of brain MRI image based on clustering algorithm," 2014 IEEE Symposium on Industrial Electronics & Applications (ISIEA), Kota Kinabalu, 2014, pp. 60-65.
  26. K. R. Mohan and G. Thirugnanam, "A dualistic sub-image histogram equalization based enhancement and segmentation techniques for medical images," 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013), Shimla, 2013, pp. 566-569.
Index Terms

Computer Science
Information Sciences

Keywords

Medical image analysis Image Enhancement Identification of chronical diseases.

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