Sökning: "texture classification"
Visar resultat 1 - 5 av 35 uppsatser innehållade orden texture classification.
1. Deep and Machine Learning on Imaging Flow Cytometry
Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskapSammanfattning : Cell painting uses fluorescent agents to label the compositions or organelles of cells to evoke morphological profiling. Imaging flow cytometry (IFC) is a multi-channel imaging technique to acquire individual cell images, including the brightfield and multiple single fluorescence channels. LÄS MER
2. A Case Study to develop and test GIS/SDSS methods to assess the production capacity of a Cocoa Site in Trinidad and Tobago
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Pritam Kumarsingh A Case Study to develop and test GIS/SDSS methods to assess the production capacity of a Cocoa Site in Trinidad and Tobago Trinidad and Tobago has achieved world-wide affirmation for its unique fine and flavour cocoa (Theobroma cacao). This classification of cocoa commands price premiums on the global market. LÄS MER
3. Prioritising biochar application to arable land in Sweden : A spatial multi-criteria analysis
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Biochar, the solid product of thermal conversion of biomass with little or no available air, is acknowledged as a carbon dioxide removal technique and soil enhancer among other applications. Its potential soil enhancing properties consists of increased water and nutrient holding capacities, liming effects and sorption of pollutants. LÄS MER
4. Graphical Glitch Detection in Video Games Using CNNs
Master-uppsats, KTH/Matematisk statistikSammanfattning : This work addresses the following research question: Can we detect videogame glitches using Convolutional Neural Networks? Focusing on the most common types of glitches, texture glitches (Stretched, Lower Resolution, Missing, and Placeholder). We first systematically generate a dataset with both images with texture glitches and normal samples. LÄS MER
5. Developing robust algorithms for feature extraction in images of polymer layers
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Automated manufacturing processes are an important component of today’s industries. Assuming the processes are properly maintained they allow for great efficiency when producing various goods. Image analysis can be used as a tool to monitor such processes and evaluate their results. LÄS MER