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 …
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
[HTML][HTML] Modified remora optimization algorithm for global optimization and multilevel thresholding image segmentation
Q Liu, N Li, H Jia, Q Qi, L Abualigah - Mathematics, 2022 - mdpi.com
Image segmentation is a key stage in image processing because it simplifies the
representation of the image and facilitates subsequent analysis. The multi-level thresholding …
representation of the image and facilitates subsequent analysis. The multi-level thresholding …
Migration-based moth-flame optimization algorithm
Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
An improved moth-flame optimization algorithm with adaptation mechanism to solve numerical and mechanical engineering problems
Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths
toward the light source is an effective approach to solve global optimization problems …
toward the light source is an effective approach to solve global optimization problems …
An efficient multilevel color image thresholding based on modified whale optimization algorithm
Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …
applications. In threshold-based segmentation, the success of the image segmentation …
Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement
Image processing is an evolving field that calls for more powerful techniques to extract
useful information from images. In particular, image segmentation is a preprocessing step …
useful information from images. In particular, image segmentation is a preprocessing step …
Chimp optimization algorithm in multilevel image thresholding and image clustering
Multilevel image thresholding and image clustering, two extensively used image processing
techniques, have sparked renewed interest in recent years due to their wide range of …
techniques, have sparked renewed interest in recent years due to their wide range of …
[HTML][HTML] Enhanced slime mould algorithm for multilevel thresholding image segmentation using entropy measures
Image segmentation is a fundamental but essential step in image processing because it
dramatically influences posterior image analysis. Multilevel thresholding image …
dramatically influences posterior image analysis. Multilevel thresholding image …
[HTML][HTML] Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm
The existing methodologies used for multilevel thresholding are not efficient in terms of both
accuracy and computation time. Two-dimensional histogram-based techniques are better in …
accuracy and computation time. Two-dimensional histogram-based techniques are better in …