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

As the classic image segmentation technique, Otsu adaptive thresholding method is widely
employed in image processing and computer vision. Two-dimensional Otsu thresholding …

We conduct an exhaustive survey of image thresholding methods, categorize them, express
their formulas under a uniform notation, and finally carry their performance comparison. The …

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 …

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 …

For the image segmentation by the histogram bilevel thresholding, several methods have
been proposed. However, they are computationally time consuming and their effectiveness …

A performance analysis procedure that analyses the properties of a class of iterative image
thresholding algorithms is described. The image under consideration is modeled as …

Image segmentation is one of the most important and fundamental tasks in image
processing and techniques based on image thresholding are typically simple and …

Segmentation is an important step of image processing that directly affects its success.
Among the methods used for image segmentation, histogram-based thresholding is a very …

Colored satellite images are difficult to segment due to their low illumination, dense features,
uncertainties, etc. Rényi's entropy is a famous entropy criterion that provides excellent …