Image segmentation using multilevel thresholding: a research review
Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …
applications. Over the years, commonly used image segmentation has become quite …
Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: Comparative analysis, open challenges and new trends
This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …
optimization methods and their applications. Image segmentation is a common problem in …
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
The ant colony optimization (ACO) is the most exceptionally fundamental swarm-based
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation
Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …
to provide the necessary diagnostic assistance for it. The medical image processing …
Multilevel thresholding using grey wolf optimizer for image segmentation
AKM Khairuzzaman, S Chaudhury - Expert Systems with Applications, 2017 - Elsevier
Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …
However, the computational complexity of multilevel thresholding increases exponentially …
Advances in Intelligent Systems and Computing
LY Cheng - 2021 - Springer
This volume contains the proceedings of the 7th Euro-China Conference on Intelligent Data
Analysis and Applications (ECC 2021), which is hosted by Communication University of …
Analysis and Applications (ECC 2021), which is hosted by Communication University of …
Multi-level image thresholding using Otsu and chaotic bat algorithm
SC Satapathy, N Sri Madhava Raja… - Neural Computing and …, 2018 - Springer
Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …
Modified firefly algorithm based multilevel thresholding for color image segmentation
L He, S Huang - Neurocomputing, 2017 - Elsevier
In this paper, a modified firefly algorithm (MFA) is proposed to find the optimal multilevel
threshold values for color image. Kapur's entropy, minimum cross entropy and between …
threshold values for color image. Kapur's entropy, minimum cross entropy and between …
图像阈值分割方法研究进展20 年(1994—2014)
吴一全， 孟天亮， 吴诗婳 - 数据采集与处理, 2015 - cqvip.com
阈值分割是图像分割领域中使用最为普遍的一类简单而有效的方法, 多年来受到许多学者的广泛
关注, 发表了大量的研究成果. 作者曾于20 年前对1962-1992 年阈值分割的研究状况做了一个 …
关注, 发表了大量的研究成果. 作者曾于20 年前对1962-1992 年阈值分割的研究状况做了一个 …
An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis …
X Chen, H Huang, AA Heidari, C Sun, Y Lv… - Computers in Biology …, 2022 - Elsevier
To improve the diagnosis of Lupus Nephritis (LN), a multilevel LN image segmentation
method is developed in this paper based on an improved slime mould algorithm. The search …
method is developed in this paper based on an improved slime mould algorithm. The search …