Whale Optimization Algorithm Based CME-CV Thresholding for Soil Porous Medium Extraction
Arunpandian Murugan1, Arunprasath Thiyagarajan2, Pallikonda Rajasekaran Murugan3, Vishnuvarthanan Govindaraj4, Vigneshwaran Senthilvel5
1Mr. M. Arunpandian, Research Scholar, Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
2Dr. T. Arunprasath, Associate Professor, Department Biomedical Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
3Dr. M. Pallikonda Rajasekaran, Professor, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
4Dr. G. Vishnuvarthanan, Associate Professor, Department of Biomedical Engineering, Bio and Chemical Sciences, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
5Vigneshwaran Senthilvel, Department of Biomedical Engineering, Bio and Chemical Sciences, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 18 December 2019 | Manuscript Published on 30 December 2019 | PP: 736-740 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A11341291S419/19©BEIESP | DOI: 10.35940/ijeat.A1134.1291S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Simulated Soil CT image is one of the rich boundary limitation of all the informations of soil pore, pebble and solid medium. Ground truth of soil skeleton is more useful to examine porosity and void ratio. With the help of the above parameters are used to recognize the other physical natures of soil. Soil management system is a well-known identified tool to enhance the field of work to do. Image processing is the major methods to examine and delivers the outcomes. Primary process of image processing is thresholding the given input samples and limits the boundary of the various objects. Thresholding is under the trustworthy of most powerful two traditional algorithms such as Otsu inter class variance and Kapur’s maximum entropy. Mixture of both the traditional methods are given all the informations of soil samples. In proposed towards novelty, combine some Bio- Inspired optimization with the traditional mixtures. Whale Optimization Algorithm (WOA) enhance the efficiency and accuracy of the segmentation throughput. It compares between certain conventional Bio-inspired Optimization.
Keywords: Image Thresholding, WOA, PSO, ABC and CME-CV, Otsu Class Variance and Kapur Maximum Entropy.
Scope of the Article: Algorithm Engineering