Exponential entropy-based multilevel thresholding using enhanced barnacle mating optimization
Multilevel Thresholding (MLT) is a prominent image segmentation research field that can
effectively handle problems encountered while collecting meaningful information from a …
effectively handle problems encountered while collecting meaningful information from a …
[HTML][HTML] An automatic multilevel image thresholding using relative entropy and meta-heuristic algorithms
Multilevel thresholding has been long considered as one of the most popular techniques for
image segmentation. Multilevel thresholding outputs a gray scale image in which more …
image segmentation. Multilevel thresholding outputs a gray scale image in which more …
Honey Badger Algorithm and Chef-based Optimization Algorithm for Multilevel Thresholding Image Segmentation
Image segmentation has an important role in image processing and computer vision and it is
widely used in numerous applications, including feature extraction, pattern recognition …
widely used in numerous applications, including feature extraction, pattern recognition …
A novel diagonal class entropy-based multilevel image thresholding using coral reef optimization
In the normal image thresholding methods based on two-dimensional histogram, the edge
information of the regions is not maintained because of the local averaging activity used …
information of the regions is not maintained because of the local averaging activity used …
An adaptive firefly algorithm for multilevel image thresholding based on minimum cross-entropy
Y Wang, S Song - The Journal of Supercomputing, 2022 - Springer
Multilevel thresholding image segmentation has attracted a lot of attention in the last several
years since it has plenty of applications. The traditional exhaustive search methods are …
years since it has plenty of applications. The traditional exhaustive search methods are …
Modified grasshopper algorithm-based multilevel thresholding for color image segmentation
Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …
much attention during the past few years. The Tsallis entropy method is implemented for its …
Multilevel image thresholding using tsallis entropy and cooperative pigeon-inspired optimization bionic algorithm
Y Wang, G Zhang, X Zhang - Journal of Bionic Engineering, 2019 - Springer
Multilevel thresholding is a simple and effective method in numerous image segmentation
applications. In this paper, we propose a new multilevel thresholding method that uses …
applications. In this paper, we propose a new multilevel thresholding method that uses …
Multilevel minimum cross entropy threshold selection based on particle swarm optimization
PY Yin - Applied mathematics and computation, 2007 - Elsevier
Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …
segmentation. Many thresholding techniques have been proposed in the literature. Among …
Multi-level image thresholding using modified flower pollination algorithm
L Shen, C Fan, X Huang - Ieee Access, 2018 - ieeexplore.ieee.org
Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. Traditional methods for multilevel thresholding are …
much attention during the past few years. Traditional methods for multilevel thresholding are …
A new multilevel image thresholding algorithm based on image partitioning approach with metaheuristic parameter for segmentation
S Thapliyal, N Kumar - 2023 - researchsquare.com
The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …
domain in the field of image vision and has received a lot of attention in several image …