A Context Sensitive Multilevel Thresholding Using Swarm Based Algorithms

Shreya Pare; Anil Kumar; Varun Bajaj; Girish Kumar Singh

doi:10.1109/JAS.2017.7510697

Volume 6 Issue 6

Nov. 2019

IEEE/CAA Journal of Automatica Sinica

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Shreya Pare, Anil Kumar, Varun Bajaj and Girish Kumar Singh, "A Context Sensitive Multilevel Thresholding Using Swarm Based Algorithms," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1471-1486, Nov. 2019. doi: 10.1109/JAS.2017.7510697

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Shreya Pare, Anil Kumar, Varun Bajaj and Girish Kumar Singh, "A Context Sensitive Multilevel Thresholding Using Swarm Based Algorithms," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1471-1486, Nov. 2019. doi: 10.1109/JAS.2017.7510697

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A Context Sensitive Multilevel Thresholding Using Swarm Based Algorithms

doi: 10.1109/JAS.2017.7510697

1.
PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur 482005, MP, India
2.
Indian Institute of Technology Roorkee, Uttarakhand 247667, India

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Author Bio:

Shreya Pare received the B. E. (Hons.) degree in electronics and communication engineering from Rajiv Gandhi Technological University, Bhopal, Indiain 2011 and M.E (Hons.) degree from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2014 and currently pursuing Ph.D. in electronics and communication engineering, PDPM-Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India. Her research interests include satellite image segmentation, image enhancement, image denoising and optimization techniques. (e-mail: shreya.pare9@gmail.com)

Anil Kumar received the B. E. degree from the Army Institute of Technology (AIT), Pune University, Maharashtra, India, and the M. Tech and Ph.D. degrees from IIT Roorkee, India, in 2002, 2006, and 2010, respectively, all in electronic and telecommunication engineering. He is an Assistant Professor in the Electronic and Communication Engineering Department, PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India. Currently, he is a Visiting Researcher at the School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Korea. His research interests include design of digital filters and multirate filter bank, multirate signal processing, biomedical signal processing, image processing, and speech processing. (e-mail: anilkdee@gmail.com)

Varun Bajaj received the B.E. degree in electronics and communication engineering from Rajiv Gandhi Technological University, Bhopal, India, in 2006. He received the M.Tech. (Hons.) degree in microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India, in 2009. He received the Ph.D. degree in the discipline of electrical engineering, at Indian Institute of Technology Indore, Indore, India. Presently, he is working as Assistant Professor with the discipline of electronics and communication engineering, at PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India. His research interests include biomedical signal processing, image processing and time-frequency analysis, speech processing. (e-mail: bajajvarun056@yahoo.co.in)

Girish Kumar Singh received the B. Tech degree from G. B. Pant University of Agriculture and Technology, Pantnagar, India, in 1981, and Ph.D. degree from Banaras Hindu University, Varanasi, India, in 1991, both in electrical engineering. He worked in the industry for nearly five and a half years. Currently, he is a Professor in the Department of Electrical Engineering, IIT Roorkee, India. His academic and research interests include design and analysis of electrical machines and biomedical signal processing. He has coordinated a number of research projects sponsored by the CSIR and UGC, Government of India. (e-mail: gksngfee@gmail.com)
Corresponding author:
Shreya Pare, e-mail: shreya.pare9@gmail.com
Received Date: 2016-04-08
Revised Date: 2016-04-12
Accepted Date: 2017-10-31

Available Online: 2019-10-22

Publish Date: 2019-10-22

Abstract

Abstract

In this paper, a comprehensive energy function is used to formulate the three most popular objective functions: Kapur's, Otsu and Tsalli's functions for performing effective multilevel color image thresholding. These new energy based objective criterions are further combined with the proficient search capability of swarm based algorithms to improve the efficiency and robustness. The proposed multilevel thresholding approach accurately determines the optimal threshold values by using generated energy curve, and acutely distinguishes different objects within the multi-channel complex images. The performance evaluation indices and experiments on different test images illustrate that Kapur's entropy aided with differential evolution and bacterial foraging optimization algorithm generates the most accurate and visually pleasing segmented images.
- Color image segmentation,
- Kapur's entropy,
- multilevel thresholding,
- Otsu method,
- swarm based optimization algorithms,
- Tsalli's entropy

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References(46)

References

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A Context Sensitive Multilevel Thresholding Using Swarm Based Algorithms

doi: 10.1109/JAS.2017.7510697

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