NDLI: New quantum inspired meta-heuristic methods for multi-level thresholding

Content Provider	IEEE Xplore Digital Library
Author	Dey, S. Saha, I. Maulik, U. Bhattacharyya, S.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Technol., Camellia Inst. of Technol., Kolkata, India (Dey, S.) \|\| Dept. of Inf. Technol., RCC Inst. of Inf. Technol., Kolkata, India (Bhattacharyya, S.) \|\| Dept. of Comput. Sci. & Eng., Jadavpur Univ., Kolkata, India (Saha, I.; Maulik, U.)
Abstract	Thresholding is a simple, effective and popular method for image segmentation. It can be bi-level or multi-level depending on number of segments in an image. Multi-level thresholding computationally takes more time than the bi-level thresholding. To reduce the computational complexity, here we propose two quantum inspired meta-heuristic methods, namely Quantum Inspired Ant Colony Optimization and Quantum Inspired Simulated Annealing for multi-level thresholding. The basic quantum principles are coalesced with meta-heuristic approaches to design the proposed methods. The performance of the proposed methods is demonstrated in comparison with its conventional versions for two test images in terms of optimal threshold values at different levels with the fitness measure, standard deviation of the fitness measure and the computational time. It has been noticed that the Quantum Inspired meta-heuristic methods are superior in terms of computational time compare to the other methods. Finally, statistical significance test, called t-test, has performed to establish the superiority of the results.
Starting Page	1236
Ending Page	1240
File Size	391433
Page Count	5
File Format	PDF
ISBN	9781479924325
e-ISBN	9781467362177
DOI	10.1109/ICACCI.2013.6637354
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Ant colony optimization Statistical test Image segmentation Multilevel thresholding Otsu's function Quantum computing Simulated annealing Interference Time complexity
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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