Image segmentation by thresholding is an important and fundamental task in image
processing and computer vision. In this paper, a new bi-level thresholding approach based …

Image thresholding is an important and efficient image segmentation technique, which is
crucial and essential for image analysis and computer vision. In this paper, we proposed a …

Image segmentation is one of the most important and fundamental tasks in image
processing and techniques based on image thresholding are typically simple and …

Variance-based thresholding method is a very effective technology for image segmentation.
However, its performance is limited in traditional one-dimensional and two-dimensional …

High level tasks in image analysis and understanding are based on accurate image
segmentation which can be accomplished through multilevel thresholding. In this paper, we …

Multilevel image segmentation is a technique that divides images into multiple
homogeneous regions. In order to improve the effectiveness and efficiency of multilevel …

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 …

Automatic thresholding is an important technique in the image segmentation process. The
basic idea of automatic thresholding is to select an optimal gray-level threshold value …

Image binarization and segmentation have been one of the most important operations in
digital image processing and related fields. In spite of the enormous number of research …

In this paper, we presented a new parameter-free thresholding method for image
segmentation. In separating an image into two classes, the method employs an objective …