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Article
Computer Science, Information Systems
Surbhi Vijh et al.
Summary: This paper presents an automated nuclei segmentation method for histopathological images using a hybrid algorithm of lion optimization and cat swarm optimization. The proposed method achieves efficient multi-level image thresholding segmentation through the optimal threshold value provided by the hybrid algorithm. Extensive simulations and analysis on benchmark suites and histopathological datasets demonstrate the performance and effectiveness of the proposed method.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Software Engineering
Gyanesh Das et al.
Summary: This paper proposes a multilevel optimal threshold selection method using opposition equilibrium optimizer. The method minimizes the segmentation error function and is independent of the spatial distribution of gray values, resulting in improved threshold selection. Experimental results showed that the proposed method performs well qualitatively and quantitatively, making it valuable for biomedical image segmentation.
INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS
(2023)
Article
Computer Science, Information Systems
Xinli Li et al.
Summary: This paper proposes a multilevel thresholding image segmentation algorithm based on the novelty harmony search algorithm and evaluates its effectiveness using experiments on an image segmentation database. The results show that the proposed algorithm performs better than other methods when the threshold number increases.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Manoj Kumar Naik et al.
Summary: Clinicians can detect diseases early with the help of digital image processing methodologies, and a novel thresholding technique is proposed for brain MR images, which can improve the accuracy of diagnosis.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
S. Subasree et al.
Summary: In this paper, an efficient segmentation method based on multilevel thresholding is proposed for mammogram images. A novel multi-objective optimization algorithm is used to search for the best thresholds for image segmentation. Experimental results demonstrate that the proposed method outperforms other state-of-the-art methods.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2022)
Article
Computer Science, Hardware & Architecture
Yi Wang et al.
Summary: In this paper, a novel adaptive firefly algorithm (AFA) has been proposed for multilevel thresholding image segmentation. The algorithm outperforms other five algorithms in terms of image segmentation quality, accuracy, and computation time, as indicated by the experimental results.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Information Systems
Harmandeep Singh Gill et al.
Summary: In this paper, a teaching learning strategy based approach called TLBO-MCET is proposed for fruit image segmentation, specifically for apple images. The approach uses a cross entropy based objective function and a teacher learner algorithm to find optimal threshold values for segmentation. The approach shows promising performance and potential for automatic grading of different varieties of apple.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Mohamed Abdel-Basset et al.
Summary: In this paper, a new approach for multi-threshold color image segmentation using the Otsu method as an objective function is proposed, named HWOA, based on a hybrid of the whale optimization algorithm (WOA) and the local minima avoidance method (LMAM). Experimental results show that HWOA outperforms other algorithms in terms of PSNR, FSIM, and objective values, while being competitive in terms of SSIM.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Tapas Si et al.
Summary: The prevalence of breast cancer in women has been increasing dramatically in recent times. This article presents an entropy-based multilevel thresholding method for segmenting breast lesions in DCE-MRI using the Chimp Optimization Algorithm (ChOA). The proposed method achieves high sensitivity, accuracy, and Dice Efficient Coefficient (DSC) levels in the segmentation of breast lesions. The performance of the proposed method is compared with other existing algorithms, and the results demonstrate its superiority in both quantitative and qualitative outcomes.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Xingmou Liu et al.
Summary: This paper proposes an insulator image segmentation method based on adaptive region growing and the adaptive Otsu algorithm to tackle the problem of insulator segmentation in complex environments.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Sanjay Agrawal et al.
Summary: Optimal multilevel thresholding for image segmentation has gained significant importance in recent years. Various entropic and non-entropic objective functions combined with evolutionary computing algorithms have been successfully applied to obtain optimal multilevel thresholds for grayscale images. However, multilevel thresholding becomes complex for color images and the methods used are computationally intensive and inaccurate. In this paper, a novel technique is proposed that extracts only the dominant color component (DCC) of an image for optimal thresholding. A new segmentation score is introduced to evaluate the methodology. The optimal threshold values are obtained using the adaptive whale optimization algorithm (AWOA). The main contributions of this work are the introduction of the DCC approach, proposing an efficient optimizer (AWOA), introducing a new segmentation score, and conducting experiments on standard color images. The results demonstrate that the suggested DCC-AWOA concept produces high-quality segmented images. This work may inspire further research in high-dimensional applications.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Dongmei Wu et al.
Summary: Threshold segmentation based on swarm intelligence optimization algorithm is proposed in this paper, with improved sparrow search algorithm and 2-D maximum entropy method. Experimental results show the superiority of the proposed method in terms of segmentation effect.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Abhay Sharma et al.
Summary: The data explosion caused by the Internet and its applications has provided researchers with a vast amount of data for analysis. Image processing is essential for better understanding of images. This paper focuses on achieving good image segmentation through multi-level thresholding.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Multidisciplinary Sciences
Chenyang Shi et al.
Summary: This article introduces a reliable full reference color image quality assessment method, which can replace subjective evaluations. The method uses three fusion steps to compare reference and distorted images in a symmetric way. The experimental results show that the proposed method performs well in terms of prediction accuracy and computational efficiency.
Article
Mathematics
Qingxin Liu et al.
Summary: Image segmentation is a crucial stage in image processing, and the multi-level thresholding technique is a popular and efficient method. However, existing meta-heuristic algorithms have some issues in determining the threshold values. Therefore, this study proposes a modified remora optimization algorithm (MROA) to address global optimization and image segmentation tasks.
Article
Computer Science, Interdisciplinary Applications
Dipak Kumar Patra et al.
Summary: This paper proposes two breast lesion segmentation methods in DCE-MRI using MFO and WOA algorithms, with experimental results showing that these methods outperform other algorithms in terms of accuracy and sensitivity.
PATTERN RECOGNITION AND IMAGE ANALYSIS
(2022)
Article
Biology
Yuzhou Zhang et al.
Summary: This paper proposes an efficient multi-level encryption scheme for stereoscopic medical images based on coupled chaotic systems and Otsu threshold segmentation. The proposed algorithm demonstrates appealing encryption and watermark performance, ensuring privacy protection for medical images.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Automation & Control Systems
Guoyuan Ma et al.
Summary: In this paper, an improved multithreshold image segmentation method based on the whale optimization algorithm (RAV-WOA) is proposed. The method is able to select satisfactory optimal thresholds while ensuring high efficiency and quality. By introducing a reverse learning strategy and an adaptive weighting strategy, the proposed method achieves better convergence speed and segmentation quality in multithreshold image segmentation.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Nitish Chopra et al.
Summary: The Golden Jackal Optimization (GJO) algorithm, inspired by the hunting behavior of golden jackals, utilizes prey searching, enclosing, and pouncing steps mathematically to solve challenging engineering problems with unidentified search spaces.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Sivasubramanian Mookiah et al.
Summary: This paper presents an enhanced sine cosine algorithm (ESCA) for color image segmentation. By transforming the input image to CIE L*a*b* color reduced space, ESCA efficiently determines the optimal threshold values for segmentation. Experimental results show that ESCA outperforms other methods like particle swarm optimization (PSO) and standard SCA in terms of peak signal-noise ratio (PSNR) and structural similarity index (SSIM), while requiring less time for finding optimal threshold values.
Article
Computer Science, Artificial Intelligence
Mohamed Abdel-Basset et al.
Summary: Image segmentation is a crucial step in image analysis and research, with various techniques proposed to improve the quality of segmentation. A novel meta-heuristic equilibrium algorithm was introduced to find the optimal threshold for grayscale image segmentation, showing enhanced accuracy in research analysis. Comparative performance evaluation with other algorithms demonstrated superior results in fitness values, peak signal-to-noise ratio, structured similarity index, maximum absolute error, and signal-to-noise ratio.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Yashwant Kurmi et al.
Summary: This paper presents a content-based image retrieval algorithm for histopathology image segmentation for identification and extraction of nuclei, which confirms the superiority of the proposed method in qualitative and quantitative analysis through performance investigation on six hematoxylins and eosin (H&E) stained histopathology images datasets.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Longzhen Duan et al.
Summary: An improved cuckoo search algorithm (ICS) is proposed for multilevel thresholding image segmentation in this paper, and the experimental results show that the proposed algorithm is superior to other seven well-known heuristic algorithms.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Essam H. Houssein et al.
Summary: The paper presents the IChOA algorithm for breast cancer segmentation using thermography images and achieves valuable and accurate results in the optimization process.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Essam H. Houssein et al.
Summary: The paper introduces an enhanced version of the Marine Predators Algorithm (MPA) called MPA-OBL, which incorporates Opposition-Based Learning (OBL) to improve search efficiency and convergence. Through comprehensive experiments, MPA-OBL is shown to outperform other algorithms in solving complex optimization problems, demonstrating superior quality of solutions and faster convergence speed.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
J. Anitha et al.
Summary: This paper proposes a modified whale optimization algorithm for optimizing the selection of multilevel color image thresholds. The algorithm achieves a proper balance between exploration and exploitation phases, thus avoiding the issue of local optima.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Shail Kumar Dinkar et al.
Summary: This paper introduces a modified equilibrium optimizer algorithm for segmentation of gray-scale images using opposition-based learning and Laplace distribution based random walk, showing superior performance in validation tests.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Multidisciplinary
Amit Kumar Bairwa et al.
Summary: The paper introduces a new metaheuristic algorithm, inspired by the behavior of dingoes, that considers collaborative and social behavior. The algorithm is based on the hunting behavior of dingoes, including exploration, encircling, and exploitation, modeled mathematically and implemented in a simulator. Comparative analysis shows that the dingo optimizer outperforms other nature-inspired algorithms in optimization tasks.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Computer Science, Information Systems
Anfal Thaer Hussein Al-Rahlawee et al.
Summary: Image thresholding, based on image histogram analysis, is a crucial method in image processing. Multi-level thresholding methods like the Otsu method are commonly used for their accuracy and efficiency, despite their high computational complexity.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Ziqi Jiang et al.
Summary: The proposed improved teaching-learning-based optimization algorithm (NFDR-TLBO) is used for multi-level thresholding of grayscale images, with experimental results confirming its effectiveness and feasibility.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
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(2020)
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(2020)
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(2018)
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(2015)
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Xin-She Yang et al.
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2013)
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Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2004)
