Zusammenfassung. Ein System zur automatischen Farbanalyse von gebackenen oder frittierten Nahrungsmitteln wurde realisiert, mit dem der Farbcharakter der Prüfobjekte nach international definierten Standards (Agtron-Klassifizierung) untersucht werden kann. Die Probe wird nach dem flächenmäßigen Anteil der verschiedenen Braunfärbungen (Agtron-Klassen) bewertet. Die Trennung von Objektbereichen un...

Text extraction is important step that strongly influences on the final recognition performance. This task is especially challenging in case of scene text which is characterized with wide set of degradations like complex backgrounds, uneven illumination, viewing angle, etc. In this paper we evaluated text extraction based on K-means clustering in HSI color space with chromatic distance and inte...

We present an unsupervised anomaly detection method for hyperspectral imagery (HSI) based on data characteristics inherit in HSI. A locally adaptive technique of iteratively refining the well-known RX detector (LAIRX) is developed. The technique is motivated by the need for better firstand second-order statistic estimation via avoidance of anomaly presence. Overall, experiments show favorable R...

Background: Trunk muscles play an important role in providing both mobility and stability during dynamic tasks in athletes.The purpose of this study was to evaluate the within-day and between-day reliability of ultrasound (US) in measuringabdominal and lumbar multifidus muscle (MF) thickness in athletes with and without hamstring strain injury (HSI).Methods: Fifteen male socce...

As a group of Health System Impact (HSI) postdoctoral fellows, Sim and colleagues offer their reflections on ‘driving change’ within the health system and present a framework for understanding the HSI fellow as an embedded researcher. Our commentary offers a different perspective of the fellow’s role by highlighting the integrated knowledge translation (IKT) approach we...

Hyperspectral images (HSI) have the advantage of high spectral resolution and permit discriminate between different compounds. We confront the situation that we obtain many data for an image, this problem suggest the idea of data reduction as band subset selection (BSS). The Laboratory of Applied Remote Sensing and Image Processing (LARSIP) has develop algorithms for classification system and b...

Mathematical Morphology is a powerful non-linear image analysis techniques based on lattice theory. The definitions of morphological operators need an ordered lattice algebraic structure. In order to apply these operators to the colour images it is required, on one hand the choice of a suitable colour space representation and on the other hand, to establish an order in the colour space providin...

Old documents frequently appear with digitalization errors, uneven background, bleed-through effect etc... Motivated by the challenge to improve printed and handwritten text, we developed a new approach based on morphological color operators using HSI color space. Our approach is composed of a morphological background estimation for foreground/background separation and text segmentation, a back...