A Comparative Study on Image Segmentation Techniques
Keywords:
Image Segmentation, gray stretch, fuzzy c- meansAbstract
Image segmentation is the first step from image processing to image analysis. Image segmentation is the partition of image into multiple segments to have clear distinction between object and background of image. In existing method, in order to obtain threshold accurately, discrete wavelet transform (DWT) method is used which decompose the image into four sub-bands via high and low pass filters. To determine threshold value, Otsu’s method is applied on low pass filter and on high pass filter edge enhancement is implemented. The overall objective of this paper is to review the image segmentation techniques and find their limitations.
References
S. Saini, and K. Arora “A Study Analysis on the Different Image Segmentation Techniques”, International Journal of Information & Computation Technology, Vol.4, Issue-14, 2014, pp.1445-1452.
A. M. Khan, and Ravi. S, “Image Segmentation Methods: A Comparative Study”, International Journal of Soft Computing and Engineering (IJSCE), Vol.3, Issue-4, 2013 pp.84-92.
M. Angelopoulou, K. Masselos, P. Cheung, and Y. Andreopoulos, “A Comparison of 2-D Discrete Wavelet Transform Computation Schedules on FPGAs”, Field Programmable Technology, FPT 2006 IEEE International Conference, 2006, pp.181-188.
M. Kociołek, A. Materka, M. Strzelecki, and P. Szczypiński, “Discrete Wavelet Transform – Derived Features for Digital Image Texture Analysis”, Proc. of International Conference on Signals and Electronic Systems, Vol.18, Issue-21, 2001, pp.163-168.
R. Biswas, and J. Sil, “An Improved Canny Edge Detection Algorithm Based on Type-2 Fuzzy Sets”, Procedia Technology Novel, Issue-4, 2012, pp.820-824.
J. Lan, and Y. Zeng, “ Multi-threshold Image Segmentation Using Maximum Fuzzy Entropy Based on a New 2D Histogram”, Optik - International Journal for Light and Electron Optics, Vol. 124, Issue-18, 2013, pp.3756-3760.
B. G. Jeong, and I. K. Eom, “Image Manipulation Detection Using Edge-Based Segmentation and Statistical Property of Wavelet Coefficients”, Electronics, Information and Communications (ICEIC), International Conference, Vol.15, Issue-18, 2014, pp.1-2.
T.C. R. Kumar, S. A. Perumal, and N. Krishnan, “Fuzzy Based Contrast Stretching for Medical Image Enhancement”, Ictact Journal On Soft Computing: Special Issue On Fuzzy In Industrial And Process Automation, Vol.2, Issue-1, 2011, pp. 233-236.
S. S. Al-amri, N.V. Kalyankar, and K.S.D., “Image Segmentation by Using Threshold Techniques”, Journal of Computing, Vol.2, Issue-5, 2010, no., pp. 83-86.
W. Rongrong, D. Yongshou, Z. Manman, and Z. Peng, “A New Mixed-Phase Wavelet Extraction and Evaluation Method Based on Adaptive Segmentation in Non-Stationary Seismogram”, Electronics Information and Emergency Communication (ICEIEC), 5th International Conference, Vol.14, Issue-16, 2015, pp. 301-304.
P. P. Sarangi, B. S. P. Mishra, B. Majhi, and S. Dehuri, “Gray-Level Image Enhancement Using Differential Evolution Optimization Algorithm”, Signal Processing and Integrated Networks (SPIN), International Conference, Vol.20, Issue-21, 2014,no., pp.95-100.
A. Dutta, and K. K. Sarma, “SAR Image Segmentation Using Wavelets and Gaussian Mixture Model”, Signal Processing and Integrated Networks (SPIN), International Conference, Vol.20, Issue-21, 2014, no., pp.466-770.
A.F .M. G. Kibria, and Md. M. Islam, “Reduction of over Segmentation in JSEG Using Canny Edge Detector”, Informatics, Electronics & Vision (ICIEV), International Conference, Vol.18, Issue-19, 2012, no., pp.65-69.
R. Dhar, R. Gupta, and K. L. Baishnab, “An Analysis of CANNY and LAPLACIAN of GAUSSIAN Image Filters in Regard to Evaluating Retinal Image”, Green Computing Communication and Electrical Engineering (ICGCCEE), International Conference, Vol.6, Issue-8, 2014, no., pp.1-6.
Z. Ding , S. Qian, Y. Li, and Z. Li, “An Image Matching Method Based on the Analysis of Grey Correlation Degree and Feature Points”, Aerospace and Electronics Conference, NAECON- IEEE National , Vol.24, Issue-27, 2014, pp.157-162.
P. Shanmugavadivu, and A. Kumar, “Modified Eight-Directional Canny for Robust Edge Detection”, Contemporary Computing and Informatics (IC3I), International Conference, Vol.27, Issue-29, 2014, no., pp.751-756.
A.F.M.G. Kibria, and Md. M. Islam, “Color Image Segmentation Using Visible Color Difference and Canny Edge Detector”, Computer and Information Technology (ICCIT), 15th International Conference, Vol.22, Issue-24, 2012, pp.138-143.
P. Sun, and L. Deng, “An Image Fusion Method Based on Region Segmentation and Wavelet Transform”, GEOINFORMATICS, 20th International Conference, Vol.15, Issue-17, 2012, pp.1-5.
S.L. Jui, C. Lin, H. Guan, A. Abraham, A. E. Hassanien, and K. Xiao, “Fuzzy C-Means with Wavelet Filtration for MR Image Segmentation”, Nature and Biologically Inspired Computing (NaBIC), Sixth World Congress, 2014, pp.12-16.
N.J. Gandhi, V. J. Shah, Jr., R. Kshirsagar ,“Mean Shift Technique for Image Segmentation and Modified Canny Edge Detection Algorithm for Circle Detection”, Communications and Signal Processing (ICCSP), International Conference, Vol.3, Issue-5, 2014, pp.246-250.
R.S. Sengar, A. K. Upadhyay, M. Singh, and V.M. Gadre, “Segmentation of Two Dimensional Electrophoresis Gel Image Using the Wavelet Transform and the Watershed Transform”, Communications (NCC), National Conference, Vol.3, Issue-5, 2012, pp.1-5.
A. Z. Arifin, and A. Asano, “Image Segmentation by Histogram Thresholding Using Hierarchical Cluster Analysis”, Pattern Recognition Letters, Vol.1, Issue-13, 2006, pp.1515-1521.
S. M. Youssef, “HFSA-AW: A Hybrid Fuzzy Self-Adaptive Audio Watermarking”, Communications, Signal Processing, and their Applications (ICCSPA), 1st International Conference, Vol.12, Issue-14, 2013, pp.1-6.
A. H. Rangkuti, N. Hakiem, R. B. Bahaweres, A. Harjoko, and A. E. Putro, “Analysis of Image Similarity with CBIR Concept Using Wavelet Transform and Threshold Algorithm”, Computers & Informatics (ISCI), IEEE Symposium, Vol.7, Issue-9, 2013, pp.122-127.
R. Canonico, J. Scharcanski, and G. Verdoolaege, “Image Segmentation Using Wavelet Coefficients and Geodesic Distance between Elliptical Distributions for Applications in Street View”, Instrumentation and Measurement Technology Conference (I2MTC), IEEE International, Vol.13, Issue-16, 2012, pp.216-219.
A. Ahmad, J. Alipal, N. H. Ja’afar , and A. Amira,“Efficient Analysis of DWT Thresholding Algorithm for Medical Image De-noising”, Biomedical Engineering and Sciences (IECBES), IEEE EMBS Conference, Vol.17, Issue-19, 2012, pp.772-777.
Archana , A. Verma , S. Goel , and N. Kumar ,“Gray Level Enhancement to Emphasize less Dynamic Region within Image Using Genetic Algorithm”, Advance Computing Conference (IACC), IEEE 3rd International, Vol.22, Issue-23, 2013, pp.1171-1176.
L. Liu, N. Yang, J. Lan, J. Li ,“Image Segmentation Based on Grey Stretch and Threshold Algorithm”, Optik - International Journal for Light and Electron Optics , Vol.126, Issue-6, 2015, pp. 626-629.
A. Singh, P. I. Singh, and P. Kaur, “Digital Image Enhancement with Fuzzy Interface System”, International Journal of Information Technology and Computer Science (IJITCS), Vol.4, Issue-10, 2012, pp. 51-56.
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