Wafer surface defect detection plays an important role in controlling product quality in
semiconductor manufacturing, which has become a research hotspot in computer vision …

As special aggregation functions, overlap functions have been widely used in the soft
computing field. In this work, with the aid of overlap functions, two new groups of fuzzy …

We introduce a novel approach for image edge detection based on pseudo-Boolean
polynomials for image patches. We show that patches covering edge regions in the image …

In conventional monitoring of human behavior in forest protection, deep learning
approaches can be detected human behavior significantly since thousands of visitors' forest …

Cracks in railway sleeper are an inevitable condition and has a significant influence on the
safety of railway system. Although the technology of railway sleeper condition monitoring …

Velocity gradient is an important parameter for interpreting tomographic velocity field and
identifying geological boundaries. It is usually translated from the results of seismic travel …

Image segmentation is a fundamental task in image processing and is still a challenging
problem when processing images with high noise, low resolution and intensity …

With the development of remote sensing technology, the resolution of remote sensing
images is improving, and the presentation of geomorphic information is becoming more and …

We propose a new fractional-order (space and time) total variation regularized model for
multiplicative noise removal in this research article. We use the regularly varying fuzzy …

Aiming at the problems of high mean square error, low peak signal‐to‐noise ratio, and long
enhancement time of traditional industrial image enhancement methods, an industrial image …