Multilevel image segmentation involves large computation and time-consuming. The firefly
algorithm (FA) has been applied to emerging the efficiency of multilevel image …

Image segmentation is the most important part of image processing, and has a large impact
on quantitative image analysis. Among many segmentation methods, thresholding based …

Multilevel thresholding methods are efficient for image segmentation. In order to determine
the thresholds, most methods use histogram of the image. In this paper, a combinational …

Thresholding is an easy yet efficient method in image segmentation, when dividing different
objects with distinct gray-levels. Its main problem is how effective the thresholds divide the …

Segmentation plays an important role in image processing, machine vision, pattern
recognition and so on. Numerous segmentation methods based on bi-level thresholding …

The segmentation aims the partitioning of a digital image into segments/objects in order to
simplify its analyze. Its comprehensive application makes it an important section of computer …

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

Image segmentation is a significant technology for image processing. Many segmentation
methods brought forward to deal with image segmentation, among these thresholding is …

Thresholding is an important approach for image segmentation and it is the first step in the
image processing for many applications. Segmentation is a low level operation that can …

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