Utilization of advanced statistical methods for processing of florescence emission of plants affected by local biotic stress
| Autor: | MATOUŠ, Karel |
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| Jazyk: | čeština |
| Rok vydání: | 2008 |
| Předmět: |
redukce dimenzionality
chlorophyll fluorescence emission pattern recognition fluorometrie classification plant infection chlorofylová fluorescenční emise selekce příznaků příznakové rozpoznávání biotic stress feature selection klasifikace biotický stress fluorescence parameters infekce rostlin fluorescenční parametry dimensionality reduction fluorometry |
| Popis: | Chlorophyll fluorescence imaging is noninvasive technique often used in plant physiology, molecular biology and precision farming. Captured sequences of images record the dynamic of chlorophyll fluorescence emission which contain the information about spatial and time changes of photosynthetic activity of plant. The goal of this Ph.D. thesis is to contribute to the development of chlorophyll fluorescence imaging by application of advanced statistical techniques. Methods of statistical pattern recognition allow to identify images in the captured sequence that are reach for information about observed biotic stress and to find small subsets of fluorescence images suitable for following analysis. I utilized only methods for identification of small sets of images providing high performance with realistic time consumptions. |
| Databáze: | OpenAIRE |
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