[Retracted] Performance Analysis of Otsu‐Based Thresholding Algorithms: A Comparative Study
Q Cao, L Qingge, P Yang - Journal of Sensors, 2021 - Wiley Online Library
Image thresholding is a widely used technology for a lot of computer vision applications, and
among various global thresholding algorithms, Otsu‐based approaches are very popular …
among various global thresholding algorithms, Otsu‐based approaches are very popular …
[HTML][HTML] An efficient approach for optimal multilevel thresholding selection for gray scale images based on improved differential search algorithm
Segmentation is one of the important steps for image analysis. Multilevel thresholding image
segmentation was more popular in image segmentation. Otsu and Kapur based methods …
segmentation was more popular in image segmentation. Otsu and Kapur based methods …
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 …
A multilevel image thresholding approach based on crow search algorithm and Otsu method
F Shahabi, F Poorahangaryan… - International Journal …, 2020 - World Scientific
Image segmentation is one of the fundamental problems in the image processing, which
identifies the objects and other structures in the image. One of the widely used methods for …
identifies the objects and other structures in the image. One of the widely used methods for …
A novel hybrid algorithm of gravitational search algorithm with genetic algorithm for multi-level thresholding
G Sun, A Zhang, Y Yao, Z Wang - Applied Soft Computing, 2016 - Elsevier
The multi-level thresholding is a popular method for image segmentation. However, the
method is computationally expensive and suffers from premature convergence when level …
method is computationally expensive and suffers from premature convergence when level …
An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy
Among various thresholding methods, minimum cross entropy is implemented for its
effectiveness and simplicity. Although it is efficient and gives excellent result in case of bi …
effectiveness and simplicity. Although it is efficient and gives excellent result in case of bi …
A discriminant analysis based recursive automatic thresholding approach for image segmentation
In this study, we have proposed an efficient automatic multilevel thresholding method for
image segmentation. An effective criterion for measuring the separability of the homogenous …
image segmentation. An effective criterion for measuring the separability of the homogenous …
Image segmentation using multilevel thresholding based on modified bird mating optimization
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 …
segmentation. These methods select optimal thresholds in gray level images by maximizing …
An improved scheme for minimum cross entropy threshold selection based on genetic algorithm
Image segmentation is one of the most critical tasks in image analysis. Thresholding is
definitely one of the most popular segmentation approaches. Among thresholding methods …
definitely one of the most popular segmentation approaches. Among thresholding methods …