Essays about: "Background Foreground Segmentation"
Showing result 1 - 5 of 14 essays containing the words Background Foreground Segmentation.
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1. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE
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2. Exploring Deep Learning Frameworks for Multiclass Segmentation of 4D Cardiac Computed Tomography
University essay from Linköpings universitet/Institutionen för hälsa, medicin och vårdAbstract : By combining computed tomography data with computational fluid dynamics, the cardiac hemodynamics of a patient can be assessed for diagnosis and treatment of cardiac disease. The advantage of computed tomography over other medical imaging modalities is its capability of producing detailed high resolution images containing geometric measurements relevant to the simulation of cardiac blood flow. READ MORE
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3. A Model-Based Approach to Hands Overlay for Augmented Reality
University essay from Linköpings universitet/Programvara och systemAbstract : Augmented Reality is a technology where the user sees the environment mixed with a virtual reality containing things such as text, animations, pictures, and videos. Remote guidance is a sub-field of Augmented Reality where guidance is given remotely to identify and solve problems without being there in person. READ MORE
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4. Managing imbalanced training data by sequential segmentation in machine learning
University essay from Linköpings universitet/Avdelningen för medicinsk teknikAbstract : Imbalanced training data is a common problem in machine learning applications. Thisproblem refers to datasets in which the foreground pixels are significantly fewer thanthe background pixels. By training a machine learning model with imbalanced data, theresult is typically a model that classifies all pixels as the background class. READ MORE
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5. Fingerprint Image Segmentation Using Local Radial Transformations
University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandlingAbstract : With a considerable increase in technology and need for security, aninterest has been created in the development of biometric technology.Various personal identification techniques like face recognition, voicerecognition, retinal pattern and fingerprint recognition are in existence. READ MORE
