Sökning: "Hyperspectral image analysis"
Visar resultat 1 - 5 av 13 uppsatser innehållade orden Hyperspectral image analysis.
1. Identification of spectral features differentiating fungal strains in infrared absorption spectroscopic images
Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationSammanfattning : There are many unknowns regarding the interaction between fungi and their surroundings. In this project, we took a closer look at hyperspectral images of several fungal strains on two different substrates. The project mainly consisted of developing a code for the classification of fungal strains and the extraction of information from it. LÄS MER
2. Accelerating MCR-ALS decomposition of hyperspectral images using k-means clustering
Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationSammanfattning : A hyperspectral image may be decomposed into component spectra and their distri- bution in the image to simplify analysis by revealing underlying patterns and reducing the dimensionality of the image; this may be achieved by the algorithm MCR-ALS. However, the algorithm is time consuming, but could be accelerated by a data re- duction. LÄS MER
3. A comparison of different machine learning algorithms applied to hyperspectral data analysis
Master-uppsats, Umeå universitet/Institutionen för fysikSammanfattning : Hyperspectral image analysis works with image data where each pixel contains hundreds of wavelengths acquired from spectral measurements. It is a growing field of research in the sciences and industries because it can distinguish visually similar objects. LÄS MER
4. REAL-TIME HYPERSPECTRAL IMAGE ANALYSIS ON GPU HARDWARE : Performance impact of different GPU architecture implementations
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : This paper examines the optimization possibilities of using different GPU memory for a hyperspectral imaging algorithm. It focuses on the global memory, the shared memory, and the constant memory of the GPU. LÄS MER
5. Detecting defects on cheese using hyperspectral image analysis
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Defects such as mold and bacterial stains can appear on cheese. Manually detecting defects is a time-consuming, cost-ineffective, and ergonomically unsatisfactory process for a dairy because the quality technicians must inspect each cheese before packaging. LÄS MER