At present, the research about fast algorithm for multi-threshold image segmentation is
mostly focused on bionic algorithm. Many of bionic algorithms, such as particle swarm …

Multilevel thresholding with metaheuristic methods Page 1 Journal of the Faculty of
Engineering and Architecture of Gazi University 36:1 (2021) 213-224 Multilevel …

This chapter proposes a new method for determining the multilevel thresholding values for
image segmentation. The proposed method considers the multilevel threshold as multi …

Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …

Image processing is one of the major research regions in the most recent decades, in which,
image segmentation has gained more popularity due to its enormous applications. Before …

Image segmentation is one of the most important tasks in image processing and pattern
recognition. One of the most efficient and popular techniques for image segmentation is …

Multi-level image segmentation is a critical task in image processing that involves multiple
threshold values. As the high computational cost of an exhaustive search is inefficient and …

Since the conventional multilevel thresholding approaches exhaustively search the optimal
thresholds to optimize objective functions, they are computational expensive. In this paper …

Multi-level thresholding is one of the most popular techniques in image segmentation.
However, selecting the optimal thresholds with high accuracy and efficiency is still …

In this paper, we present a new multi-level image thresholding technique, called Automatic
Threshold based on Multi-objective Optimization “ATMO” that combines the flexibility of multi …