On Contrast Enhancement Techniques for Medical Images with Edge Detection: A Comparative Analysis
Keywords:Contrast Enhancement, Edge Detection, INT Operator, Fuzzy Type-I,
AbstractThe main role of contrast enhancement is increasing the quality of any image. This technique plays fundamental role in medical images. Edge detection is also playing an instrumental role in medical imaging because all information has preserved in edges. Digital image includes a pixel which has fixed number of rows and columns. People can see the internal structure of the body through digital image. Five images have taken as an example in this paper, namely hand, brain, head, ankle and knee. Three enhancement techniques have used, namely Fuzzy Type-II, INT Operator and Fuzzy Type-I. These different three techniques have applied on different images which are used in this paper. Three parameters have used to compare three contrast enhancement techniques. Peak signal to noise ratio (PSNR), root mean square error (RMSE) and mean square error (MSE) quality parameters have been used. The result has produced after comparison of three approaches on five images. In the end, Fuzzy Type-I technique produces the better resultant image.
Ensafi and H.R. Tizhoosh, “Type-2 Fuzzy Image Enhancement”, Systems Design Engineering, University of Waterloo, pp. 159-166, 2005.
Sri Hartati,1Agus Harjoko, and Brad G. Nickerson, “Image Enhancement using Fuzzy Hyperbolization and Artificial Neural Network for Anomaly Detection”, International Journal of Computer, Electrical, Automation, Control and Information Engineering, vol.3, pp. 2089-2092, 2009.
Harish Kundra, Aashima and Monika Verma, “Image Enhancement Based on Fuzzy Logic”, IJCSNS International Journal of Computer Science and Network Security, vol. 9, pp. 141-145, 2009.
PunamBedi, Malvika Gaur, PayalArora, PritiSehgal, RoliBansal, "Fingerprint Image Enhancement Using Type-2 Fuzzy Sets", Fuzzy Systems and Knowledge Discovery, Fourth International Conference on, vol. 3, pp. 412-417, 2009.
Aboul Ella Hassanien, Omar S. Soliman, and Nashwa El-Bendary, “Contrast Enhancement Based on Fuzzy Type-II for MRI Images”, Springer-Verlag Berlin Heidelberg, pp. 77-83, 2011.
Hamid R. Tizhoush, Manfred Fochem, “Fuzzy Histogram Hyperbolization for Image Enhancement”, Published in Proc. Of FUFIT 95, Germany, pp. 1695-1698, 2011.
Castillo, O., Melin, P., “Type-2 Fuzzy System”, Springerbriefs in Computational Intelligence, pp.7-12, 2012.
AmitKamra, Kanchan Rani, “An Improved Method for Image Enhancement Using Fuzzy Approach”, IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS), pp. 1093-1095, 2012.
TamalikaChaira, “A rank ordered filter for medical image edge enhancement and detection using intuitionistic fuzzy set”, Applied Soft Computing, Elsevier, vol. 12, No.4, pp. 1259-1266, 2012.
Prof. Mrs.Preethi S.J, Prof. Mrs. K. Rajeswari, “Membership Function modification for Image Enhancement using fuzzy logic”, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), pp. 114-118, 2013.
Reshmalakshmi C, Sasikumar M, “Image Contrast Enhancement using Fuzzy Technique”, ICCPCT(International Conference on Circuits, Power and Computing Technologies), pp. 861-865, 2013.
TarunMahashwari, AmitAsthana, “Image Enhancement Using Fuzzy Technique”, International Journal of Research Review in Engineering Science & Technology (IJRREST), vol. 2, No.2, pp. 1-4, 2013.
Sudhavani, Srilakshmi, VenkateswaraRao, SatyaParsad, “Comparison of Fuzzy Contrast Enhancement Techniques”, International Journal of Computer Applications, Vol. 95, no. 22, pp. 26-31, 2014.
Pushpa Devi Patel, Prof. Vijay Kumar Trivedi, Dr.Sadhna Mishra, “Image Enhancement using Fuzzy Techniques: Survey and Overview”, International Journal of Science, Technology & Management, vol. 03, No.12, pp. 154-160, 2014.
DiwakarShrivastava, Dr.VineetRichhariya, “Adaptive Contrast Image Enhancement Based on Fuzzy Set Theory”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 4, No.2, pp. 453-462, 2014.
Neetu Gupta, “Comparative Study of Type-1 and Type-2 Fuzzy System”, International Journal of Engineering Research and General Science, Vol. 2, No.4, pp. 195-198, 2014.
Dongrui Wu, “A Brief Tutorial on Interval Type-2 Fuzzy Sets and Systems”, Signal and Image Processing Institute, University of Southern, California, Los Angeles, pp. 1-13, 2014.
Akanksha Singh, SiniShibu, Shatendra Dubey, “Recent Image Enhancement Techniques: A Review”, International Journal of Engineering and Advanced Technology (IJEAT), vol. 4, No.1, pp. 40- 45, 2014.
AmanTusia, Dr.Naresh Kumar, “Performance Analysis of Type-2 Fuzzy System for Image Enhancement using Optimization”, International Journal of Enhanced Research in Science Technology & Engineering, vol. 3, No.7, pp. 108-116, 2014.
Miss. Pooja Mishra,Mr.khomlalsinha, “A Survey Paper Based On Contrast Enhancement of Gray Image Using Fuzzy Based Contrast Intensification Operator” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), vol. 3, No. 8, pp. 2618-2622, 2014.
Dongrui Wu, Jerry M. Mendel, “Designing Practical Interval Type 2 Fuzzy Logic Systems Made Simple”, IEEE International Conference on Fuzzy Systems, pp. 800-807, 2014.
Swati Tyagi, Pradeep Jain, “Image Enhancement by Comparing Contrast value in Fuzzy Plane” (IJCSIT) International Journal of Computer Science and Information Technologies, vol. 6, No.3, pp. 2998-3001, 2015.
Sonal Sharma, Avani Bhatia, “Contrast Enhancement of an Image using Fuzzy Logic”, International Journal of Computer Applications, vol. 111, No.17, pp. 14-20, 2015.
Sesadri, C. Nagaraju, “Type2 Fuzzy Computing Technique for Image Enhancement”, International Journal of Computer Science and Information Security (IJCSIS), vol. 13, No.11, pp. 94-105, 2015.
Nirmala, “Review: Medical Image Contrast Enhancement Techniques”, Research Journal of Pharmaceutical, Biological and Chemical Sciences, vol. 6, No.3, pp. 321-329, 2015.
Ansari, Mohd Dilshad, Satya Prakash Ghrera, and Vipin Tyagi. "Pixelbased image forgery detection: A review." IETE journal of education, Vol. 55, No.1, pp. 40-46, 2014.
Ansari, M.D., Ghrera, S.P. “Intuitionistic fuzzy local binary pattern for features extraction” Int. J. Information and Communication Technology. In Press.
Gonzalez, J. R. Castro, O. Mendoza, A. Rodríguez-Díaz, “Edge detection method based on Interval Type-2 Fuzzy Systems for color images”, IEEE, 2015.
Kapil, Shruti, Meenu Chawla, and Mohd Dilshad Ansari. "On Kmeans data clustering algorithm with genetic algorithm." IEEE Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC), pp. 202-206, 2016.
Ansari, M.D. and Ghrera, S.P. and Wajid, M. ”An Approach for Identification of Copy-Move Image Forgery based on Projection Profiling, Pertanika Journal of Science & Technology, Vol.25, No.2, pp.507-518, 2017.
HarleenKaur, Er.PriyankaJarial, Er. Gaurav Mittal, “An Improved Fuzzy Rule Based Edge Detection Technique”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), vol. 5, No.5, pp. 411-416, 2015.
Ansari, Mohd Dilshad, Garima Singh, Arjun Singh, and Ashwani Kumar. "An Efficient Salt and Pepper noise Removal and Edge preserving Scheme for Image Restoration." Int. J. Computer Technology & Applications, Vol.3, No.5, pp.1848-1854, 2012.
Ansari, Mohd Dilshad and Ghrera, S.P., "Feature Extraction Method for Digital Images Based on Intuitionistic Fuzzy Local Binary Pattern” 5th IEEE International Conference on System Modeling & Advancement in Research Trends (SMART), pp.345- 349, 2016.
Ansari, M. D., Mishra, A. R., Ansari, F. T., & Chawla, M. ”On edge detection based on new intuitionistic fuzzy divergence and entropy measures.” IEEE Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC), pp. 689-693, 2016.
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