We describe a novel integrated algorithm for realtime enhancement of video acquired under challenging lighting conditions. Such conditions include low lighting, haze, and high dynamic range situations. The algorithm automatically detects the dominate source of impairment, then depending on whether it is low lighting, haze or others, a corresponding pre-processing is applied to the input video, ...

As an essential prerequisite task in image-based plant phenotyping, leaf segmentation has garnered increasing attention recent years. While self-supervised learning is emerging as effective alternative to various computer vision tasks, its adaptation for phenotyping remains rather unexplored. In this work, we present a framework consisting of semantic model, color-based algorithm, and color cor...

Detecting moving pedestrians and vehicles with foreground segmentation algorithms is problematic during fluctuating lighting conditions. Edge-based approaches are more robust to lighting than the conventional intensity-based ones. The issue with edge-based approaches though is segmenting the internal foreground areas. In this work a strategy is developed to detect complete foreground areas. Fir...

Power quality in public lighting networks is yet not sufficiently studied today. New conditions and requirements arise as a consequence of rapid application of new technologies like LED lighting, lighting control and monitoring, adaptive lighting systems etc. Optimization of reliable and efficient service of public lighting systems can be only achieved if behaviour of individual elements within...

Lighting influences users' visual strain and well-being. Therefore creating lighting that ensures visual work conditions do not result in visual fatigue is a preventive activity. The aim of the study was to model different lighting systems for visual display terminal (VDT) work and to determine their influence on users' visual strain and preferences. The results of the study showed that visual ...