A novel optimal multilevel thresholding algorithm for histogram-based image segmentation
is presented in this paper. The proposed algorithm presents an improved variant of PSO, a …

In this paper, we present a new variant of Particle Swarm Optimization (PSO) for image
segmentation using optimal multi-level thresholding. Some objective functions which are …

Since the conventional multilevel thresholding approaches exhaustively search the optimal
thresholds to optimize objective functions, they are computational expensive. In this paper …

Multilevel thresholding is one of the most popular image segmentation techniques. Some of
these are time-consuming algorithms. In this paper, by preserving the fast convergence rate …

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

Multilevel thresholding is one of the most popular image segmentation techniques. In order
to determine the thresholds, most methods use the histogram of the image. This paper …

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 …

Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

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