The density peak clustering (DPC) is one of the most popular algorithms for segmenting
images due to its simplicity and efficiency. Since DPC and its variants are not specifically …

An adaptive low-illumination image enhancement algorithm based on the weighted least
squares optimization is proposed to solve the difficulty of detailed feature recognition in low …

In information theory—as well as in the adjacent fields of statistics, machine learning,
artificial intelligence, signal processing and pattern recognition—many flexibilizations of the …

Thresholding-based approaches are widely used for image segmentation due to their low
computational cost and complexity and ease of implementation. We proposed a novel …

To improve the accuracy, reliability and validity of flood prediction models, this study
proposes a regularized broad learning (RBL) model based on an improved variational mode …

In day-to-day life, images are the most frequent and casual way of information sharing.
These images are susceptible to external disturbances or noise. Thus, to curb noise, image …

Industrial Internet of Things is the core field of smart city. And intelligent detection is an
important application field of industrial Internet of Things. Demand of the industrial is …

The use of metaheuristic algorithms (MA) has been increasing in recent years, and the
image processing field is not the exempted of their application. In the last two years a big …