Book Chapter10.1007/978-3-030-37218-7_38
Performance Analysis of Differential Evolution Algorithm Variants in Solving Image Segmentation
V. SandhyaSree,S. Thangavelu +1 more
- 25 Sep 2019
- pp 329-337
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TL;DR: Experimental results shows that DE/best/1/bin algorithm out performs than the other variants of DE algorithms in solving image segmentation.
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Abstract: Image segmentation is an activity of dividing an image into multiple segments. Thresholding is a typical step for analyzing image, recognizing the pattern, and computer vision. Threshold value can be calculated using histogram as well as using Gaussian mixture model. but those threshold values are not the exact solution to do the image segmentation. To overcome this problem and to find the exact threshold value, differential evolution algorithm is applied. Differential evolution is considered to be meta-heuristic search and useful in solving optimization problems. DE algorithms can be applied to process Image Segmentation by viewing it as an optimization problem. In this paper, Different Differential evolution (DE) algorithms are used to perform the image segmentation and their performance is compared in solving image segmentation. Both 2 class and 3-class segmentation is applied and the algorithm performance is analyzed. Experimental results shows that DE/best/1/bin algorithm out performs than the other variants of DE algorithms
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Citations
A Distributed Multithreaded Evolutionary Computing Frame Work using Differential Evolution Algorithm
S Raghul,Jeyakumar. G +1 more
- 20 Jan 2021
TL;DR: In this paper, an enhanced distributed differential algorithm framework (mtdDE) with multi-threaded islands in a distributed framework was proposed to attain maximum level of data parallelism. And the main objective of mtdDE is to reduce the computation time and to improve the solution quality for the targeted optimization problems.
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A Comparative Study on Parameter Estimation of COVID Epidemiological Models Using Differential Evolution Algorithm
Sai Sudha Panigrahi,Arul Jayanth Muthukumar,S. Thangavelu,G. Jeyakumar,C. Shunmuga Velayutham +4 more
TL;DR: In this paper , the authors compared epidemiological models with different machine learning models based on evaluation techniques and compared the top-five heavily affected states of India having the highest number of cases are considered for the study.
4
Optimal Ship Route Search Based on Multi-Objective Genetic Algorithm
Ashwin R,I. Cr,Pavan Teja Ramana,Paladugu Shilpa,J. G +4 more
- 06 Jul 2023
TL;DR: This work presents an algorithm to plan safe and optimal routes for ships moving inaccessible areas and with unlimited traffic direction that is optimized with multiple objectives which makes it more unique and optimal.
A hybrid multi-population reinitialization strategy to tackle dynamic optimization problems
S. Raghul,G. Jeyakumar +1 more
TL;DR: This hybrid multi-population reinitialization strategy showcases its effectiveness in the successful handling of increased shift lengths and number of peaks, which are pivotal parameters in solving moving peak benchmark function.
References
A Study for Applications of Histogram in Image Enhancement
Harpreet Kaur,Neelofar Sohi +1 more
TL;DR: The various applications of histograms through which they help in the enhancement process are defined, and how these techniques help in enhancement process, which factors effect these techniques are examined.
37
An improved differential evolution algorithm based on adaptive parameter
Zhehuang Huang,Yidong Chen +1 more
TL;DR: This paper proposes an adaptive parameter adjustment method which can dynamically adjust control parameters according to the evolution stage and shows that the improved algorithm has more powerful global exploration ability and faster convergence speed.
Adaptive differential evolution and exponential crossover
Josef Tvrdík
- 01 Oct 2008
TL;DR: Several adaptive variants of differential evolution are described and compared in two sets of benchmark problems, and the influence of exponential crossover on efficiency of the search is studied.
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•Book
Applications of Evolutionary Computation in Image Processing and Pattern Recognition
Erik Cuevas,Daniel Zaldvar,Marco Pérez-Cisneros +2 more
- 07 Nov 2015
TL;DR: This book presents the use of efficient Evolutionary Computation algorithms for solving diverse real-world image processing and pattern recognition problems and explains the basic ideas of the proposed applications in a way that can also be understood by readers outside of the field.
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Multi-level Image Thresholding Based on Hybrid Differential Evolution Algorithm. Application on Medical Images
Musrrat Ali,Patrick Siarry,Millie Pant +2 more
- 01 Jan 2017
TL;DR: Image thresholding is definitely one of the most popular segmentation approaches for extracting objects from the background, or for discriminating objects from objects that have distinct gray-levels.
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