ABSTRACT
In the coastal video image segmentation, images are partitioned into land and sea classes, and each of these classes could have different segmentation qualities. In order to cope with variations in image quality and opaque areas, this paper has proposed a multilevel threshold technique based on the Cuckoo Search (CS) algorithm as an optimization algorithm for selecting optimum threshold values. The optimum threshold values are determined by maximizing Otsu's or Kapur's objective function using CS algorithm. The CS algorithm uses McCulloch's method for Lévy flight generation and combined with Otsu's and Kapur's objective functions to analyze CS algorithm performance. Based on the evaluations of PSNR, MSE, FSIM and CPU time parameters, the McCulloch's method based on CS algorithm with Otsu's objective function is the most promising and computationally efficient for segmenting coastal video images.
- Al Shboul, B., Al-Ayyoub, M., and Jararweh, Y., 2015, Multi-way sentiment classification of Arabic reviews. In Proceedings of the 6th International Conference on Information and Communication Systems (ICICS), Amman, Jordan, 2015, 206--211.Google Scholar
- Saeed, A.-M., and Fatima, A.-M., 2016, Coastline Extraction using Satellite Imagery and Image Processing Techniques," Int. J. Curr. Eng. Technol., 6, 4 (2016), 1245--1251.Google Scholar
- Mello, C. A., Dos Santos, T. J., Medeiros, H. R., and Pereira, P. S., 2013, shoreline segmentation as a proxy to coastal erosion detection, In Proceedings of the IEEE International Conference on,Systems, Man, and Cybernetics (SMC), 1217--1222. Google ScholarDigital Library
- Otsu, N., 1979, A threshold selection method from gray-level histograms, IEEE Trans. Syst. Man Cybern., 9,1 (1979), 62--66.Google ScholarDigital Library
- Kapur, J. N., Sahoo, P. K., and Wong, A. K., 1985, A new method for gray-level picture thresholding using the entropy of the histogram, Comput. Vis. Graph. Image Process., 29, 3(1985), 273--285.Google Scholar
- Lai, C.-C., and Tseng, D.-C., 2004, A hybrid approach using Gaussian smoothing and genetic algorithm for multilevel thresholding, Int. J. Hybrid Intell. Syst., 1, 3-4(2004), 143--152. Google ScholarDigital Library
- Ye, Z., Zheng, Z., Yu, X., and Ning, X., 2005, Automatic threshold selection based on ant colony optimization algorithm, In Proceedings of the International Conference on Neural Networks and Brain (ICNN & B), 2(2005), 728--732.Google Scholar
- Horng, M.-H., 2010, Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization," Expert Syst. Appl., 37, 6(Juny 2010), 4580--4592. Google ScholarDigital Library
- Maitra, M., and Chatterjee, A., 2008, A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding, Expert Syst. Appl., 34, 2(February 2008), 1341--1350. Google ScholarDigital Library
- Sathya, P. D., and Kayalvizhi, R., 2011, Optimal multilevel thresholding using bacterial foraging algorithm, Expert Syst. Appl., 38, 12(2011), 15549--15564. Google ScholarDigital Library
- Fogel, D. B., 1994, An introduction to simulated evolutionary optimization, IEEE Trans. Neural Netw., 5, 1(January 1994), 3--14. Google ScholarDigital Library
- Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., and Perez-Cisneros, M., 2013, Multilevel thresholding segmentation based on harmony search optimization, J. Appl. Math., (2013).Google Scholar
- Suresh, S., and Lal, S., 2016, An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions, Expert Syst. Appl., 58(2016), 184--209. Google ScholarDigital Library
- Yang, X. and Deb, S., 2009, Cuckoo Search via Lévy flights," In Proceedings of the World Congress on Nature Biologically Inspired Computing (NaBIC), (2009), 210--214.Google Scholar
- Ceylan, M., and Canbilen, A.E., 2017, Performance Comparison of Tetrolet Transform and Wavelet-Based Transforms for Medical Image Denoising, Int. J. Intelligent System and Applications in Engineering, 5, 4(2017), 222--231.Google ScholarCross Ref
Index Terms
- Multilevel Thresholding for Coastal Video Image Segmentation Based on Cuckoo Search Algorithm
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