Image thresholding is a very common image processing operation, since almost all image
processing schemes need some sort of separation of the pixels into different classes. In …

Image thresholding is one of the most common image processing operations, since almost
all image processing schemes need some sort of separation of the pixels into different …

Multi-level thresholding of a gray image is one of the basic operations in computer vision,
with applications in image enhancement and segmentation. Various criteria for the selection …

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

Otsu reference proposed a criterion for maximizing the between-class variance of pixel
intensity to perform picture thresholding. However, Otsu's method for image segmentation is …

One of the most important methods of image processing is image thresholding, which is
based on image histogram analysis. These methods analyze the image histogram diagram …

Multilevel thresholding has been long considered as one of the most popular techniques for
image segmentation. Multilevel thresholding outputs a gray scale image in which more …

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 …

Multilevel thresholding is to find the thresholds to segment the image with grey levels.
Usually, the thresholds are so determined that some indicator functions of the segmented …

Thresholding is one of the most widely used image segmentation operations; one
application is foreground-background separation. Multilevel thresholding is the extension to …