Cured Iberian ham is one of the most valuable meat products of Spain and Portugal, with a first-rate consumer acceptance. Its sensorial characteristics are basically due to high intramuscular fat content and marbling, i.e. number, position, shape and size of intramuscular fat streaks. Our current attempts are to investigate the relationship between spatio-geometrical characteristics of fat stre...

It is well known that damage evolution models requires a length to avoid spurious localization. We gather these type of models under the name “non-local damage models”. In fact, non-locality is strictly needed only when the stress-strain curve starts to have a negative slope. Before this point, local models may be used. For instance, when damage exhibits some hardening, the stress-strain curve ...

Objective Bending radiographs are routinely used to determine curve flexibility during planning of scoliosis surgery. However, the cumulative dose of ionizing radiation is a concern, especially in growing children. Ultrasound (US) imaging method has been used to measure the coronal curvatures up to 45° Cobb. The objectives were to investigate the feasibility of using US method to scan AIS surgi...

In order to facilitate complexity optimization in feedforward networks, several algorithms are developed that combine growing and pruning. First, a growing scheme is presented which iteratively adds new hidden units to full-trained networks. Then, a non-heuristic onepass pruning technique is presented, which utilizes orthogonal least squares. Based upon pruning, a one-pass approach is developed...

In this report a method for detection of human faces from color images based on human skin color detection and subsequent segmentation and verification scheme is described. Using the large Compaq database, skin and non-skin color models are build on the basis of simple histogram approximation of the probability distributions and the Neyman-Pearson classifier used in [8] for pixel-level skin det...

Bottom-up segmentation methods merge similar neighboring regions according to a decision rule and a merging order. In this paper, we propose a contribution for each of these two points. Firstly, under statistical hypothesis of similarity, we provide an improved decision rule for region merging based on significance tests and the recent statistical inequality of McDiarmid. Secondly, we propose a...

In this paper techniques are described for the automated detection of solar Active Regions (ARs). AR detection is achieved using intensity thresholds and a region growing procedure. These procedures have been tested on full-disk solar images from the Meudon observatory for the months of April and July 2002 and compared with their manually generated synoptic maps. Comparisons were also made with...

In this paper, we present a task-specific segmentation method that incorporates semantic knowledge into datadriven segmentation process through different region merge scores. Starting from a simple region growing algorithm which results in over-segmented regions, we apply region merging method designed specifically for each task such as road extraction or vegetation area identification. Further...

We describe an Eikonal-based algorithm for computing dense oversegmentation of an image, often called superpixels. This oversegmentation respect local image boundaries while limiting undersegmentation. The proposed algorithm relies on a region growing scheme, where the potential map used is not xed and evolves during the di usion. Re nement steps are also proposed to enhance at low cost the rst...