This paper presents an overview of methods that have been proposed for the analysis of
breast cancer histopathology images. This research area has become particularly relevant …

Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

Despite progress in perceptual tasks such as image classification, computers still perform
poorly on cognitive tasks such as image description and question answering. Cognition is …

Abstract Convolutional Neural Networks (CNNs) have been established as a powerful class
of models for image recognition problems. Encouraged by these results, we provide an …

Research in texture recognition often concentrates on the problem of material recognition in
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

Patterns and textures are key characteristics of many natural objects: a shirt can be striped,
the wings of a butterfly can be veined, and the skin of an animal can be scaly. Aiming at …

Multi-modality image fusion is an effective technique to fuse the complementary information
from multi-modality images into an integrated image. The additional information can not only …

The ability to associate images with natural language sentences that describe what is
depicted in them is a hallmark of image understanding, and a prerequisite for applications …