In this paper, the importance of including small image features at the initial levels of a progressive second generation video coding scheme is presented. It is shown that a number of meaningful small features called details ...

We propose a novel Active Learning framework capable to train effectively a convolutional neural network for semantic segmentation of medical imaging, with a limited amount of training labeled data. Our contribution is a ...

A fully automatic technique for segmenting the liver and localizing its unhealthy tissues is a convenient tool in order to diagnose hepatic diseases and assess the response to the according treatments. In this work we ...

How many times have we wanted to control an area and the video-surveillance system does not have the appropriate properties? Nowadays, the video-surveillance has become a responsibility by the necessity to patrol a ...

La restauració virtual de pintures murals encadena molts processos complexos que van des de l'obtenció d'una imatge en format virtual fins a la reconstrucció final del mural. De tots els passos necessaris, la segmentació ...

Image segmentation in medical images such as magnetic resonances (MR) is extremely important for faster and more reliable diagnoses. Since nowadays most segmentation systems are manual, new automatic methods are being ...

This correspondence deals with the notion of connected operators. Starting from the definition for operator acting on sets, it is shown how to extend it to operators acting on function. Typically, a connected operator ...

This paper deals with a hierarchical morphological segmentation algorithm for image sequence coding. Mathematical morphology is very attractive for this purpose because it efficiently deals with geometrical features such ...

With the development of novel parallel architectures for image processing, the implementation of well-known image operators needs to be reformulated to take advantage of the so-called massive parallelism. In this work, we ...