Thresholding method is one of the most popular approaches for image segmentation where
an objective function is defined in terms of threshold numbers and their locations in a …

In the area of image processing, segmentation of an image into multiple regions is very
important for classification and recognition steps. It has been widely used in many …

Multilevel thresholding image segmentation is an important technique, which has attracted
much attention in recent years. The conventional exhaustive search method for image …

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 …

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 …

Histogram based multilevel thresholding is one of the most aggressive methods to realize
image segmentation. We have used histogram based multilevel thresholding as a gray …

Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

This paper proposes a new multilevel thresholding method segmenting images based on
particle swarm optimization (PSO). In the proposed method, the thresholding problem is …

Image thresholding is a common segmentation technique with applications in various fields,
such as computer vision, pattern recognition, microscopy, remote sensing, and biology. The …

Image thresholding is a well approved pre-processing methodology and enhancing the
image information based on a chosen threshold is always preferred. This research …