Multilevel thresholding segmentation of color plant disease images using metaheuristic optimization algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06437-1
Abstract: In this study, we apply multilevel thresholding segmentation to color images of plant disease. Given that thresholding segmentation is just an optimization problem, we use Otsu’s function as the objective function. To solve this optimization… read more here.
Keywords: thresholding segmentation; segmentation color; multilevel thresholding; optimization ... See more keywords
Meta-heuristic moth swarm algorithm for multilevel thresholding image segmentation
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5637-x
Abstract: Multilevel thresholding is a very important image processing technique in the field of image segmentation. However, the computational complexity of determining the optimal threshold grows exponentially with increasing thresholds. To overcome this drawback, in this… read more here.
Keywords: image; algorithm; moth swarm; segmentation ... See more keywords
Image segmentation using multilevel thresholding based on modified bird mating optimization
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7515-6
Abstract: Multilevel thresholding using Otsu or Kapur methods is widely used in the context of image segmentation. These methods select optimal thresholds in gray level images by maximizing between-class variance or entropy criterion. These methods become… read more here.
Keywords: image segmentation; segmentation; optimization; multilevel thresholding ... See more keywords
Optimal multilevel thresholding selection for brain MRI image segmentation based on adaptive wind driven optimization
Sign Up to like & getrecommendations! Published in 2018 at "Measurement"
DOI: 10.1016/j.measurement.2018.08.007
Abstract: Abstract Medical image processing is one of the real research regions in the most recent four decades. Numerous researchers have contributed very great algorithms and reported outstanding results. In this paper, adaptive wind driven optimization… read more here.
Keywords: image; segmentation; adaptive wind; multilevel thresholding ... See more keywords
A Multilevel Image Thresholding Method Based on Subspace Elimination Optimization
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/6706590
Abstract: Multilevel thresholding is to find the thresholds to segment the image with grey levels. Usually, the thresholds are so determined that some indicator functions of the segmented image are optimized. To improve the computational efficiency,… read more here.
Keywords: image; optimization; subspace; multilevel thresholding ... See more keywords
Multilevel thresholding and Morphological Relationship Approach for Automatic Detection of Anterior and Posterior Commissure in Mid-sagittal Brain MRI
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2020.1031.33
Abstract: Most of neuroimaging applications tend to still rely on expert knowledge in determining anatomies of the brain. For example in Parkinson’s disease surgery, detection of the anterior commissure (AC) and posterior commissure (PC) are still… read more here.
Keywords: detection; automatic detection; commissure; multilevel thresholding ... See more keywords
Hybrid Multilevel Thresholding Image Segmentation Approach for Brain MRI
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13050925
Abstract: A brain tumor is an abnormal growth of tissues inside the skull that can interfere with the normal functioning of the neurological system and the body, and it is responsible for the deaths of many… read more here.
Keywords: image segmentation; segmentation; multilevel thresholding; approach ... See more keywords
Enhanced Slime Mould Algorithm for Multilevel Thresholding Image Segmentation Using Entropy Measures
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23121700
Abstract: Image segmentation is a fundamental but essential step in image processing because it dramatically influences posterior image analysis. Multilevel thresholding image segmentation is one of the most popular image segmentation techniques, and many researchers have… read more here.
Keywords: image segmentation; segmentation; image; thresholding image ... See more keywords