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Problemy związane z rozpoznawaniem barw świateł sygnalizacyjnych

Owczarek G.

Bezpieczeństwo Pracy : nauka i praktyka

2018

nr 6

12-15

The article presents the main eye hazards caused by excessive eye exposure on optical radiation The human eye sensitivity spectral distribution in the context of signal colour recognition was discussed In order to explain the effects of the mechanism of phenomena responsible for the recognition of signal lights colour, a graphical analysis of spectral distributions of signal lights emitted from traditional incandescent sources and LED sources (light emitting diode) was performed. This analysis also takes into account the conditions under which observation of signal lights may take place (daylight and night vision conditions. The conclusions also indicate the further direction of studies on the influence of colour recognition affected by vision conditions, eye sensitivity spectral distribution (including disturbance of colour recognition) and different types of signal light sources

Sterowanie robotem na bazie rozpoznanej barwy obiektu

Makarewicz A.

Pomiary Automatyka Robotyka

2014

R. 18, nr 1

119--123

Celem pracy jest praktyczna analiza tematyki z zakresu sterowania robotem na podstawie przygotowanego algorytmu przetwarzania obrazu fotograficznego oraz jego realizacja w postaci aplikacji w języku C++ umożliwiającej sterowanie urządzeniem zewnętrznym podłączonym do komputera stacjonarnego.

The goal of the work is the analysis of the robot control using the developed algorithm for processing the still photo image, implemented as a C++ application, making control of the external device connected to the desktop computer possible.

Selected aspects of digital image processing applications in ITS

Mrówka P., Olejniczak M.

Archives of Transport System Telematics

2013

Vol. 6, iss. 3

23--26

Digital image processing algorithms are commonly applied in Intelligent Transport Systems (ITS). Their effective operation is conditioned on the high robustness to real-life image distortions and the computational complexity suitable for implementation on a non expensive industrial computer. The paper presents three original image analysis methods designed for the ITS, with special attention paid on aforementioned conditions. Colour image parametrization method for the traffic light state classifier was described. The algorithm utilizes CIELAB colour space properties. The method of vehicle edges parametrization for the make and model classifier was presented. The proposed representation relies on thresholded coefficients of gradient magnitude approximation in low dimensional space. The paper presents also the method of image characteristic features detection for the licence plates localization task. The detection is performed by means of appropriately designed filters with low computational complexity.