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 Otsu's method has been proven as an efficient method in image segmentation for bi-
level thresholding. However, this method is computationally intensive when extended to …

Image segmentation has an important role in image processing and computer vision and it is
widely used in numerous applications, including feature extraction, pattern recognition …

Multi-level image thresholding is a common approach to image segmentation where an
image is divided into several regions based on its histogram. Otsu's method is the most …

Multilevel thresholding amounts to segmenting a gray-level image into several distinct
regions. This paper presents a 2D histogram based multilevel thresholding approach to …

Multilevel Thresholding (MLT) is a prominent image segmentation research field that can
effectively handle problems encountered while collecting meaningful information from a …

Image segmentation is an important problem that has received significant attention in the
literature. Over the last few decades, a lot of algorithms were developed to solve image …

Multilevel thresholding image segmentation has attracted a lot of attention in the last several
years since it has plenty of applications. The traditional exhaustive search methods are …

Color image thresholding is a well-known approach for image segmentation. An objective
function, based on image entropy, is defined by threshold numbers and locations in the color …

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