An experimentation of objective functions used for multilevel thresholding based image segmentation using particle swarm optimization
For image segmentation, multilevel thresholding is treated as one of the widely used
approach. However, this approach has a major issue that is it suffers of high computational …
approach. However, this approach has a major issue that is it suffers of high computational …
A Compact and High-Performance Acoustic Echo Canceller Neural Processor Using Grey Wolf Optimizer along with Least Mean Square Algorithms
Recently, the use of acoustic echo canceller (AEC) systems in portable devices has
significantly increased. Therefore, the need for superior audio quality in resource …
significantly increased. Therefore, the need for superior audio quality in resource …
An efficient adaptive Masi entropy multilevel thresholding algorithm based on dynamic programming
B Lei, J Li, N Wang, H Yu - Journal of Visual Communication and Image …, 2024 - Elsevier
Masi entropy multilevel thresholding can utilize additive and non-extensive information in
images to effectively segment a complex image. However, the entropy index of Masi entropy …
images to effectively segment a complex image. However, the entropy index of Masi entropy …
A cross entropy and whale optimization algorithm based image segmentation for aerial images
There are several image segmentation techniques for image processing such as,
thresholding, region based, edge based, watershed etc. However, the multilevel …
thresholding, region based, edge based, watershed etc. However, the multilevel …
Multilevel thresholding based image segmentation using Masi entropy and moth-flame optimization algorithm
AKM Khairuzzaman - International Journal of Information Technology, 2024 - Springer
This paper presents a multilevel thresholding based image segmentation technique using
the generalized Masi entropy as the criteria to select the optimal thresholds. Moth-flame …
the generalized Masi entropy as the criteria to select the optimal thresholds. Moth-flame …
Application of Improved Wild Horse Optimizer Based on Chaos Initialization in Medical Image Segmentation
L Li, M Zhang, Q Li, S Li - International Conference on Computer …, 2023 - Springer
In the field of auxiliary medicine, medical image segmentation is an effective diagnostic
measure, but there is still room for improvement in the accuracy and efficiency of medical …
measure, but there is still room for improvement in the accuracy and efficiency of medical …
Image Segmentation Algorithm Based on Rst Strategy
ZU Khan, P Zhang - Available at SSRN 5072075 - papers.ssrn.com
This study presents an image segmentation algorithm based on a Regional Spanning Tree
(RST) strategy, addressing limitations in traditional tree-based segmentation methods such …
(RST) strategy, addressing limitations in traditional tree-based segmentation methods such …
[引用][C] Multilevel Thresholding of Color Image Segmentation Using Memory-based Grey Wolf Optimizer With Otsu Method, Kapur, and M. Masi Entropy
IMS Bimantara, A Yuniarti - Jurnal Nasional Pendidikan Teknik Informatika …, 2023