Image thresholding improved by global optimization methods

F Balabanian, E Sant'Ana da Silva… - Applied Artificial …, 2017 - Taylor & Francis
Image thresholding is a common segmentation technique with applications in various fields,
such as computer vision, pattern recognition, microscopy, remote sensing, and biology. The …

[HTML][HTML] Multilevel thresholding image segmentation based on energy curve with harmony Search Algorithm

R Srikanth, K Bikshalu - Ain Shams Engineering Journal, 2021 - Elsevier
Image segmentation is a process of portion image into regions. From image segmentation
schemes available, multilevel thresholding on the histogram is a highly established method …

Multi-objective whale optimization algorithm for multilevel thresholding segmentation

MA El Aziz, AA Ewees, AE Hassanien… - Advances in soft …, 2018 - Springer
This chapter proposes a new method for determining the multilevel thresholding values for
image segmentation. The proposed method considers the multilevel threshold as multi …

A novel supervised bi-level thresholding technique based on particle swarm optimization

AM Nickfarjam, S Soltaninejad, F Tajeripour - Arabian Journal for Science …, 2014 - Springer
Thresholding is an important step in many computer vision tasks such as image
segmentation. However, selection of the optimal threshold value often appears as a …

[PDF][PDF] Image Thresholding Using Differential Evolution.

S Rahnamayan, HR Tizhoosh, MMA Salama - IPCV, 2006 - researchgate.net
Image thresholding is a challenging task in image processing field. Many efforts have
already been made to propose universal, robust methods to handle a wide range of images …

Meta-heuristic moth swarm algorithm for multilevel thresholding image segmentation

Y Zhou, X Yang, Y Ling, J Zhang - Multimedia Tools and Applications, 2018 - Springer
Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …

An improved teaching–learning-based optimization for multilevel thresholding image segmentation

Z Jiang, F Zou, D Chen, J Kang - Arabian Journal for Science and …, 2021 - Springer
Due to its successful application image processing or computer vision system, image
segmentation plays a significant role and has become a hot research hotspot. In this paper …

[HTML][HTML] Multi-level image thresholding based on modified spherical search optimizer and fuzzy entropy

HS Naji Alwerfali, M AA Al-qaness, M Abd Elaziz… - Entropy, 2020 - mdpi.com
Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …

[PDF][PDF] Multilevel thresholding with metaheuristic methods

Y Ölmez, A Sengur, G Ozmen Koca - Journal of the Faculty of …, 2020 - researchgate.net
Multilevel thresholding with metaheuristic methods Page 1 Journal of the Faculty of
Engineering and Architecture of Gazi University 36:1 (2021) 213-224 Multilevel …

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 …