Medical image contrast enhancement based on improved sparrow search algorithm

Fan, Xiaoyan; Sun, Zhanquan; Yin, Zhong; Cao, Gaoyu

doi:10.1002/ima.22794

Cited by 11 publications

(3 citation statements)

References 40 publications

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“…One avenue of research explores the enhancement of medical image segmentation through adaptive histogram equalization [50], highlighting its potential for contrast improvement [23,29,51]. Additionally, a comprehensive survey has delved into image enhancement techniques within medical imaging [52].…”

Section: Enhancement Techniquesmentioning

confidence: 99%

Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach

Saifullah,

Dreżewski

2024

Applied Sciences

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Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preprocessing for medical image segmentation, focusing on lung CT scan and chest X-ray datasets. Best-cost values reveal the PSO algorithm’s performance, with HE preprocessing demonstrating significant stabilization and enhanced convergence, particularly for complex lung CT scan images. Evaluation metrics, including accuracy, precision, recall, F1-score/Dice, specificity, and Jaccard, show substantial improvements with HE preprocessing, emphasizing its impact on segmentation accuracy. Comparative analyses against alternative methods, such as Otsu, Watershed, and K-means, confirm the competitiveness of the PSO-HE approach, especially for chest X-ray images. The study also underscores the positive influence of preprocessing on image clarity and precision. These findings highlight the promise of the PSO-HE approach for advancing the accuracy and reliability of medical image segmentation and pave the way for further research and method integration to enhance this critical healthcare application.

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Section: Enhancement Techniquesmentioning

confidence: 99%

Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach

Saifullah,

Dreżewski

2024

Applied Sciences

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“…The SSA is an innovative heuristic optimization algorithm inspired by the foraging behavior of sparrows. The sparrows in the SSA are highly sensitive, exhaustive, and powerfully collaborative; these traits give the algorithm a strong search capability and optimization effect (Fan et al, 2022). The matrix in equation (1) illustrates its initial position:…”

Section: Ssamentioning

confidence: 99%

Application of Improved Sparrow Search Algorithm in Electric Battery Swapping Station Switching Dispatching

Shi,

Zhao

2023

International Journal of Information Technologies and Systems Approach

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The demand for power exchange has risen dramatically as the number of electric vehicle (EV) users has increased, and large-scale disorderly charging will increase the operating costs of battery swapping stations and increase the risk to the power grid. Through experimental comparison with other algorithms on 23 test functions, the results demonstrate that the convergence accuracy and speed of this improved algorithm are superior to those of other algorithms. Furthermore, in solving the optimization problem of EV battery swapping station scheduling, by reasonably allocating the battery pack charging time and establishing the forecasting model of switching demand, the average variance and peak-to-average ratio of the grid are reduced by 29.55% and 13.2%, respectively, based on meeting the user's switching demand. Approximately a 12,500 RMB reduction in the cost of charging lowers the operation cost and risk of battery swapping stations and enhances the user experience.

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“…The SSA has been used in many other fields. Wu et al (2021) reported the application of GGSC-SSA to solve the traveling salesman problem (TSP); Fan et al (2022a) even utilized SSA to improve the quality of medical images; but few published reports exist on the application of SSA to UAV trajectory planning. Here we propose a new metaheuristic optimization algorithm based on the SSA and referred to as MSSA.…”

Section: Introductionmentioning

confidence: 99%

UAV trajectory planning based on an improved sparrow optimization algorithm with multi-strategy integration

Yang

2022

Front. Environ. Sci.

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Real-time monitoring of urban high-altitude data is an important goal in the construction and development of smart cities today. However, with the development of modern cities, the monitoring space becomes complicated and narrow because of the different building heights and no-fly zones, which makes UAV trajectory planning more difficult. In this paper, a multi-strategy sparrow search algorithm (MSSA) is proposed to solve the UAV trajectory planning problem in a three-dimensional environment. The algorithm aims to minimize the flight distance and maximize the use efficiency of the UAV. First, the improved algorithm employed a reverse-learning strategy based on the law of refraction to improve the search range and enhance the optimization performance. Second, we introduced a random step size generated by Levy flight into the position update strategy of the participant. The algorithm accuracy and speed of convergence were improved by the randomness feature. Finally, the algorithm incorporated the Cauchy mutation to improve the scout position, which enhanced its ability to jump out of the local optimum of the algorithm. Sixteen benchmark test functions, Wilcoxon rank sum test, and 30 CEC2014 test function optimization results demonstrated that MSSA had better optimization accuracy, convergence speed, and robustness than the comparison algorithms. In addition, the proposed algorithm was applied to the UAV trajectory planning problem in different complex 3D environments. The results confirmed that the MSSA outperformed the other algorithms in complex 3D trajectory planning problems.

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Medical image contrast enhancement based on improved sparrow search algorithm

Cited by 11 publications

References 40 publications

Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach

Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach

Application of Improved Sparrow Search Algorithm in Electric Battery Swapping Station Switching Dispatching

UAV trajectory planning based on an improved sparrow optimization algorithm with multi-strategy integration

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