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

Thresholding is one of the critical steps in pattern recognition and has a significant effect on
the upcoming steps of image application, the important objectives of thresholding are as …

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 …

In computer vision, image segmentation is the process of partitioning a digital image into
multiple sections. The goal of segmentation is to simplify and/or change the representation …

Image Segmentation is an open research area in which Multi-level thresholding is a topic of
current research. To automatically detect the threshold, histogram-based methods are …

Setting a border with the proper gray level in processing images to separate objects from
their backgrounds is crucial. One of the simplest and most popular methods of segmenting …

The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …

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

Thresholding segmentation is a critical preprocessing step on many image processing
applications. However, most of the existing thresholding methods can only deal with an …