Emergency events involving fire are potentially harmful, demanding a fast and precise
decision making. The use of crowd sourcing image and videos on crisis management …

This book explores the study of processing and visually representing data sets. Data
visualization is closely related to information graphics, information visualization, scientific …

Interactive image segmentation is a challenging task and receives increasing attention
recently; however, two major drawbacks exist in interactive segmentation approaches. First …

Interactive image segmentation methods normally rely on cues about the foreground
imposed by the user as region constraints (markers/brush strokes) or boundary constraints …

Interactive image segmentation aims to partition the image into background and foreground
objects by taking into account seeds inserted by users. Nowadays, many methods are …

We propose a method for digital hair removal from dermoscopic images, based on a
threshold-set model. For every threshold, we adapt a recent gap-detection algorithm to find …

Very high resolution (VHR) images are large datasets for pixel annotation--a process that
has depended on the supervised training of an effective pixel classifier. Active learning …

Image segmentation is one of the most investigated research topics in Computer Vision and
yet presents challenges due to the difficulty of modeling all possible appearances of objects …

An image segmentation method is disclosed that allows a user to select image component
types, for example tissue types and or background, and have the method of the present …

A representação de imagem baseada em superpixels tem se tornado indispensável na
melhoria da eficiência em sistemas de Visão Computacional. Reconhecimento de objetos …