The image segmentation techniques based on multi-level threshold value received lot of
attention in recent years. It is because they can be used as a pre-processing step in complex …

Multilevel thresholding is a widely used image segmentation technique. However, multilevel
thresholding becomes more and more computationally expensive as the number of …

Multilevel thresholding is a popular image segmentation technique. However, computational
complexity of multilevel thresholding increases very rapidly with increasing number of …

Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find 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 …

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 …

Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …

Image segmentation is one of the fundamental problems in the image processing, which
identifies the objects and other structures in the image. One of the widely used methods for …

Multilevel thresholding is one of the most broadly used approaches to image segmentation.
However, the traditional techniques of multilevel thresholding are time-consuming …