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 …

The Otsu's method has been proven as an efficient method in image segmentation for bi-
level thresholding. However, this method is computationally intensive when extended to …

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

Image thresholding is a very common image processing operation, since all image
processing schemes need some sort of operation of the pixels into different classes. In order …

The selection of threshold is one the general methods in image segmentation, but often the
selection of the optimal value for threshold is a challenge for researchers. In this paper we …

The multilevel thresholding method with maximum entropy is one of the most important
image segmentation methods in image processing. However, its time-consuming …

There are many techniques for conducting image analysis and pattern recognition. This
papers explores a way to optimize one of these techniques—image segmentation—with the …

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

In this paper, five successful nature inspired algorithms; the artificial tree algorithm (AT), the
particle swarm optimization (PSO), the genetic algorithm (GA), the cultural algorithm (CA) …

Multilevel thresholding has been long considered as one of the most popular techniques for
image segmentation. Multilevel thresholding outputs a gray scale image in which more …