Thresholding is an important and well-known technique that plays a major role in
distinguishing the image objects from its background. In the other hand, separating the …

Image Thresholding is one simplest method of image segmentation, which partitions the
image into several objects on the basis of one or more threshold values. Threshold values …

Image thresholding considered as a popular method for image segmentation. So far, many
approaches have been proposed for image thresholding. Maximum entropy thresholding …

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 of images helps in separating the interesting objects from their
background. The quality of separation depends much on the selected threshold values. This …

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 …

The drawback of the conventional multilevel thresholding methods is high computational
cost since they do exhaustive search among exponentialy growing number of possible …

Image thresholding is an important technique for image processing and pattern recognition.
Many thresholding techniques have been proposed in the literature. Among them, the …

One of the fundamental problems in image processing is image segmentation identifying the
objects and other structures in the image. Image thresholding is one of the widely used …

Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …