Abstract Two-dimensional (2D) multilevel thresholding is an important technique for noisy
image segmentation which has drawn much attention during the past few years. The …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …

Image segmentation is a critical step in digital image processing applications. One of the
most preferred methods for image segmentation is multilevel thresholding, in which a set of …

Image segmentation is a fundamental but essential step in image processing because it
dramatically influences posterior image analysis. Multilevel thresholding image …

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 …

Masi entropy is a popular criterion employed for identifying appropriate threshold values in
image thresholding. However, with an increasing number of thresholds, the efficiency of …

Multi-level image thresholding is a popular approach for image segmentation where the
image is divided into several non-overlapping regions based on the image histogram …

Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …

With reference to image processing, segmentation is an essential step. It includes filtering
the pixels into two or more categories based on their brightness levels relative to a …

Multi-level thresholding (MLT) is a threshold-based image segmentation method. MLT is
perhaps one of the most mainstream method of image segmentation because of its effective …