Background and objectives Because skin cancer affects millions of people worldwide,
computational methods for the segmentation of pigmented skin lesions in images have been …

Image restoration is a long-standing problem in low-level computer vision with many
interesting applications. We describe a flexible learning framework based on the concept of …

For several decades, image restoration remains an active research topic in low-level
computer vision and hence new approaches are constantly emerging. However, many …

Skin cancer is considered one of the most common types of cancer in several countries and
its incidence rate has increased in recent years. Computational methods have been …

The synthetic generation of static handwritten signatures based on motor equivalence theory
has been recently proposed for biometric applications. Motor equivalence divides the …

This paper presents a noise removal method based on a semi-adaptive threshold in
anisotropic diffusion filter to get better detail information protection and stronger noise …

Optical strain is an extension of optical flow that is capable of quantifying subtle changes on
faces and representing the minute facial motion intensities at the pixel level. This is …

Image-guided depth completion (IGDC) is a multimodal computer vision task for acquiring
high-precision dense depth maps. It reasonably predicts values around accurate sparse …

This paper proposes a machine vision scheme for denoising, feature space gradient
preserving, and detecting weld defects in noisy weld X-radiography images; particularly, for …

A novel kernel anisotropic diffusion (KAD) method is proposed for robust noise reduction
and edge detection. The KAD incorporates a kernelized gradient operator in the diffusion …