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Diagnosis of white matter damage by neonatal cranial ultrasound (CrUS) is subject to inter-observer variability and has a low sensitivity to detect late abnormal neurodevelopment in life. In the last decades there have been a significant effort reporting that statistical features of ultrasound images carry important information associated with changes of tissue microstructure. In this work we explored...
Ventriculomegaly is one of the most sensitive markers for abnormal development of the fetal central nervous system. So assessment of the size of lateral ventricles has become an important part of routine neurological assessment in neonates. We have proposed a method for measuring the width of lateral ventricles in term and preterm neonates from the coronal view of their brain ultrasound images. Based...
In this paper, we consider a novel low-complexity image processing-based approach to the detection of neonatal clonic seizures. Our approach is based on the extraction, from a video recording of a newborn, of an average luminosity signal representative of the body movements. Since clonic seizures are characterized by periodic movements of parts of the body (e.g., the limbs), by evaluating the periodicity...
The EnforManga is an interactive system for creating comic books based on the simple manipulation of images. To create a comic book that is similar to an actual comic book, the system provides two types of deformations: background and character, which translate images more comically. As a result, the deformed comic book is more like an actual comic book than comics created using conventional systems...
Potato quality control has improved in the last years thanks to automation techniques like machine vision, mainly making the classification task between different quality degrees faster, safer and less subjective. We present a system that classifies potatoes depending on their external defects and diseases. Firstly, some image processing techniques are used to segment and analyze the potatoes. Then,...
This paper describes the concept of segmentation and geometry restauration for two-dimensional scanner images of white roots from hydroponic cultures. The segmentation applies RGB to HSV colour spaces transform and takes into account high chroma and dark type discolourations of root tissue. To identify spatial root tree, all paths in its 2D projection graph are individually tracked, with some a priori...
A syntactic-semantic approach to information extraction from images is described. The methodology involves the injection of semantic considerations into context-free grammars. The semantic considerations include feature vectors, selection restrictions, feature transfer functions, semantic well-formedness, etc. With such injection, we can make a description scheme which carries the numerical, the structural,...
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