The internal pore structure of asphalt mixtures directly influences their permeability
characteristics. Current research has not yet clarified the quantitative characterization of …

In this paper, we propose a class of median-based matrix information geometry (MIG)
detectors with a manifold filter and apply them to signal detection in nonhomogeneous …

To tackle the difficulties in the detection and removal of impulse noise faced by the existing
filters, and to further improve the denoising performance, we propose an adaptive …

K-means clustering is the most well-known unsupervised learning method that partitions the
input dataset into K clusters based on the similarity between the data samples. In this paper …

The median-type filter is an effective technique to remove salt and pepper (SAP) noise;
however, such a mechanism cannot always effectively remove noise and preserve details …

Medical image denoising is essential for improving the clarity and accuracy of diagnostic
images. In this paper, we present an enhanced wavelet-based method for medical image …

This paper proposes a Nested Sliding Window (NSW) method based on the correlation
between pixel vectors, which can extract spatial information from the hyperspectral image …

Recently, many fast implementations of the bilateral and the nonlocal filters were proposed
based on lattice and vector quantization, eg clustering, in higher dimensions. However …

Vessel segmentation from X-ray coronary angiogram (CAG) is essential in computer-aided
diagnosis of cardiovascular diseases. Automatic segmentation is a challenging task due to …

Eddy current testing (ECT) is an efficient tool to detect the bottom flaw and corrosion
because of its characteristics of non-contact, high sensitivity, and flexible. Compared with …