Entropy-based thresholding techniques are quite popular and effective for image
segmentation. Among different entropy-based techniques, minimum cross-entropy …

Threshold based segmentation methods can effectively separate objects from the
background. The conventional Otsu's method can achieve good result only when the …

Image segmentation is the key step in the process from image processing to image analysis.
Otsu method is one of the most successful methods for image thresholding because of its …

Image thresholding is a common segmentation technique with applications in various fields,
such as computer vision, pattern recognition, microscopy, remote sensing, and biology. The …

Image segmentation is among the most important techniques in image processing, and
many methods have been developed to perform this task. This paper presents a new multi …

Threshold segmentation is a very important technique. The existing threshold algorithms do
not work efficiently for noisy grayscale images. This paper proposes a novel algorithm called …

Multi-level thresholding of a gray image is one of the basic operations in computer vision,
with applications in image enhancement and segmentation. Various criteria for the selection …

In this paper, An Automatic Multilevel Thresholding Method for Image segmentation is
proposed based on Discrete Wavelet Transforms and Genetic Algorithm. We have combined …

Color image multilevel thresholding segmentation based on metaheuristic optimization
algorithm and histogram has been widely used in many fields, but histogram neglects the …

The modified two-stage multithreshold Otsu (TSMO) method based on a twostage Otsu
optimization approach is proposed for multilevel thresholding. The proposed method yields …