Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

Multilevel thresholding is a popular image segmentation technique. However, computational
complexity of multilevel thresholding increases very rapidly with increasing number of …

Image processing is one of the major research regions in the most recent decades, in which,
image segmentation has gained more popularity due to its enormous applications. Before …

Multilevel image thresholding is a well-known technique for image segmentation. Recently,
various metaheuristic methods have been proposed for the determination of the thresholds …

Multilevel thresholding is a reliable and efficacious method for image segmentation that has
recently received widespread recognition. However, the computational complexity of the …

Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …

The computational complexity grows exponentially for multi-level thresholding (MT) with the
increase of the number of thresholds. Taking Kapur's entropy as the optimized objective …

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 for image segmentation has always been a popular issue and has
attracted much attention. Traditional exhaustive search methods take considerable time to …

Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …