This paper presents an enhanced Harris Hawks Optimizer (HHO) to tackle global optimization and determine the optimal threshold values for multi-level image segmentation …
A Dirami, K Hammouche, M Diaf, P Siarry - Signal processing, 2013 - Elsevier
For the image segmentation by the histogram bilevel thresholding, several methods have been proposed. However, they are computationally time consuming and their effectiveness …
In the field of image processing, there are several problems where an efficient search of the solutions has to be performed within a complex search domain to find an optimal solution …
X Bao, H Jia, C Lang - Ieee Access, 2019 - ieeexplore.ieee.org
Multilevel thresholding has got more attention in recent years with various successful applications. However, the implementation becomes more and more complex and time …
Multilevel thresholding image segmentation has received considerable attention in several image processing applications. However, the process of determining the optimal threshold …
J Han, C Yang, X Zhou, W Gui - Applied Mathematical Modelling, 2017 - Elsevier
Thresholding plays an important role in image segmentation and image analysis. In this paper, the normalized histogram of an image is fitted by a linear combined normal …
This paper studied the multilevel threshold image segmentation-based metaheuristics optimization methods and their applications. Image segmentation is a common problem in …