… multilevel thresholding problem is illustrated which is defined mathematically by considering
a gray level image I to be segmented … are required to divide the image into subregions as in …

… image into multiple classes that permits the analysis of the objects contained in the scene.
Multilevel thresholding … of thresholds that properly segment each image. Techniques as Otsu’s …

… introduced for bi-level image thresholding and then extended to compute the multilevel
thresholding and further extended to solve the colored image multilevel thresholding problems. …

… In this section, the mathematical formulation of the multilevel thresholding problem is
introduced. Consider the tested grey level image I that contains K + 1 classes. Therefore, to divide I …

… of the image to find optimum thresholds for segmenting the image into multiple levels. The
… thresholded image rapidly tends towards the original image, from the visual point of view. …

… Multilevel thresholding segments a gray level image into several distinct regions by detecting
more than one … Here we extended this criterion for multilevel thresholding as follows. …

… of the two-dimensional multilevel thresholding approach for image segmentation. Then, the
… required thresholding values. Indeed, we have proposed a multilevel thresholding method …

… of image segmentation. However, the computational complexity of multilevel thresholding …
To overcome this drawback, a new approach of multilevel thresholding based on Grey Wolf …

… Multilevel thresholding is an important technique for image processing and pattern recognition.
The maximum entropy thresholding (… In this paper, a new multilevel MET algorithm based …

… In digital image processing, one of the most relevant tasks is … that divide the histogram of the
image into different groups. These … concept to the image segmentation which is called hyper-…