Our study proposes a hybrid optimization scheme based on an ant colony optimization
algorithm with the Otsu method to render the optimal thresholding technique more …

The determination of the optimal change threshold is an essential step for very high-
resolution (VHR) remote sensing change detection. Although a number of change threshold …

Image segmentation is one of the principal approaches of image processing. The choice of
the most appropriate Binarization algorithm for each case proved to be a very interesting …

ABSTRACT A compact cat swarm optimization scheme (cCSO) is proposed in this paper,
which is designed to solve application domains plagued with limited memory and less …

In this study, we have proposed an efficient automatic multilevel thresholding method for
image segmentation. An effective criterion for measuring the separability of the homogenous …

The selection of optimal thresholds is still a challenging task for researchers in case of
multilevel thresholding. Many swarm and evolutionary computation techniques have been …

We incorporate, evaluate, and assess the feasibility of using filter banks in automated
pavement distress systems from a system level. We integrate a novel filter-bank-based …

Optimal reduction of the number of grey levels present in an image is a fundamental
problem in segmentation, classification, lossy compression, quantisation, inspection and …

Presented is a fast technique dedicated to the multilevel image thresholding and
quantization based on the Shannonpsilas entropy maximization. The elaborated method …

In this study, a new criterion for determining the number of classes an image should be
segmented is proposed. This criterion is based on discriminant analysis for measuring the …