Key role in the prevention of diet-related chronic diseases plays balanced nutrition together with a proper diet. The conventional dietary assessment methods are time-consuming, expensive and prone to errors. New technology-based that provide reliable convenient assessment, have emerged during last decade. advances field computer vision permitted use meal image assess nutrient content usually through three steps: food segmentation, recognition volume estimation. In this paper, we propose one...

Traditional methods for early detection of melanoma rely on the visual analysis skin lesions performed by a dermatologist. The is based so‐called ABCDE (Asymmetry, Border irregularity, Colour variegation, Diameter, Evolution) criteria, although confirmation obtained through biopsy pathologist. proposed method exploits an automatic pipeline morphological and evaluation lesion dermoscopy images. Preliminary segmentation pre‐processing image SC‐cellular neural networks performed, in order to...

The aim of this paper is to present a real-time interaction system for ancient artifacts digitally restored in virtual environment. Using commercial hardware and open source software, Augmented Reality versions archaeological are experienced on mobile devices both real outdoor site as well an indoor museum. case study project represented by two Syracuse, Italy, statue altar, dated back Hellenistic time. Virtual replicas the were produced applying different techniques. Later projects became...

When it was first introduced in 2000, reverse vaccinology defined as an silico approach that begins with the pathogen's genomic sequence. It concludes a list of potential proteins possible, but not necessarily, peptide candidates need to be experimentally confirmed for vaccine production. During subsequent years, has dramatically changed: now consists large number bioinformatics tools and processes, namely subtractive proteomics, computational vaccinology, immunoinformatics, related...

To enlarge a digital image from single frame preserving the perceptive cues is relevant research issue. The best known algorithms take into account presence of edges in luminance channel, to interpolate correctly samples/pixels original image. This approach allows production pictures where interpolated artifacts (aliasing blurring effect,...) are limited but high frequencies not properly preserved. zooming algorithm proposed this paper on other hand reduces noise and enhances contrast...

The efficiency of lossless compression algorithms for fixed-palette images (indexed images) may change if a different indexing scheme is adopted. Many adopt differential-predictive approach. Hence, the spatial distribution indexes over image smooth, greater ratios be obtained. Because this, finding an that realizes such smooth relevant issue. Obtaining optimal re-indexing suspected to hard problem and only approximate solutions have been provided in literature. In this paper, we restate as...

The ubiquitous fruition of cultural and artistic heritage in the field photography requires as a first step conversion huge amount old printed material into digital form, for successive manipulation data management. This process is particularly delicate photographic prints, which often show effects aging. paper reports list principal defects that can be detected an photography; different origins them, their features, suggest restoration approaches.

This paper deals with a virtual anastylosis of Greek Archaic statue from ancient Sicily and the development public outreach protocol for those visual impairment or cognitive disabilities through application three-dimensional (3-D) printing haptic technology. The case study consists marble head Leontinoi in southeastern Sicily, acquired 18th century later kept collection Museum Castello Ursino Catania, torso, retrieved 1904 since then displayed Archaeological Siracusa. Due to similar...

We propose a new algorithm to digitally restore vintage photographic prints affected by foxing and water blotches. It semiautomatically recovers the defects utilizing features of stains. The restoration process enhances residual image information still present in area. is composed three different steps: inpainting, additive-multiplicative (A-M) modeling, interpolation.

Palette re-ordering is an effective approach for improving the compression of color-indexed images. If spatial distribution indexes in image smooth, greater ratios may be obtained. As already known, obtaining optimal re-indexing scheme not a trivial task. In this paper, we provide novel algorithm palette problem making use motor map neural network. Experimental results show real effectiveness proposed method both terms ratio and zero-order entropy local differences. Also, its computational...

In this paper a new method for zooming color images is proposed. It based on self organizing system that runs as "intelligent" assistant during the enlargement processing. The algorithm proposed uses local gradient estimation and gives results have sharpness computation time better than classical recent techniques.

3D scanning has gone a long way since its first appearance in cultural heritage digitization and modeling. In the recent years some new low cost, fast, accurate emerging technologies are flooding market. Envisioning massive use of these cheap easy to devices next years, it is crucial explore possible fields application test their effectiveness terms easiness data collection, processing, mesh resolution metric accuracy against size features objects. this study we focus attention on one...

Munsell Soil Charts are a very common tool used by archaeologists for the color specification task. usually employed directly on cultural heritage sites to identify of soils and collected artifacts. However, charts designed be specifying through subjective perception users, visual mean, in time-consuming error-prone procedure. It is likely that two users may estimate different notations same specimen, as colors not perceived uniformly people. Hence, estimation process should repeated several...