Sökning: "greyscale"
Visar resultat 1 - 5 av 14 uppsatser innehållade ordet greyscale.
1. Emotion recognition with Deep Learning and its correlation with veracity
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Emotion recognition is an interesting and important field of study in many professional fieldssuch as medicine and law enforcement. This topic of study has many different challenges toexplore and we chose a few of these to expand upon. LÄS MER
2. Developing an Image Morphing Approach for Visualization of Digital Twin Liver Fat Reduction
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Nonalcoholic liver steatosis (NALS) is a condition where fat infiltrates the tissue of the liver and accumulates in droplets. While not a dangerous condition on its own, if left for long enough it can develop into conditions which could cause serious and potentially permanent damage to the liver. LÄS MER
3. Scatterplot Patterns : Using animation to enhance scatterplots
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This work presents a novel method for enhancing multi-class scatterplots with animated patterns. Each class in a scatterplot is assigned its own pattern that changes over time. This pattern determines the coloring of the class’s points, representing motion over time to make the points be perceived as connected to each other. LÄS MER
4. En grå upplevelse : Unga vuxnas spenderade tid på digitala skärmar och hur deras beteendemönster påverkas av en display i gråskala
Kandidat-uppsats, Linnéuniversitetet/Institutionen för informatik (IK)Sammanfattning : Tekniken utvecklas kontinuerligt och vår miljö har gradvis blivit mer digitaliserad med åren. Numera finns det således en ständig närvaro av olika digitala enheter i våra liv, såsom smartphonen. Syftet med forskningsstudien är att undersöka hur användarens beteendemönster vid användning av smartphones påverkas av ett svartvitt tema. LÄS MER
5. Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : The common carotid artery (CCA), the artery that supplies our brains with oxygen, is of great importance in stroke research. The usual way to monitor the artery is by using ultrasound (US) imaging. An automated way of segmenting out the arteries from the US images is desired to optimize research. LÄS MER