Estimation of light source colours for light pollution assessment
| Autor: | Fatma Kerouh, Djemel Ziou |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Image formation
Pollution Light Computer science Health Toxicology and Mutagenesis media_common.quotation_subject Light pollution Color 02 engineering and technology Toxicology Bayesian inference 01 natural sciences law.invention 010309 optics law Night vision Smart city 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Household Articles media_common Incandescent light bulb Estimator Bayes Theorem General Medicine Industrial engineering 020201 artificial intelligence & image processing Environmental Pollution Environmental Monitoring |
| Zdroj: | Environmental pollution (Barking, Essex : 1987). 236 |
| ISSN: | 1873-6424 |
| Popis: | The concept of the smart city raised several technological and scientific issues including light pollution. There are various negative impacts of light pollution on economy, ecology, and heath. This paper deals with the census of the colour of light emitted by lamps used in a city environment. To this end, we derive a light bulb colour estimator based on Bayesian reasoning, directional data, and image formation model in which the usual concept of reflectance is not used. All choices we made are devoted to designing an algorithm which can be run almost in real-time. Experimental results show the effectiveness of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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