Litcius/Paper detail

Computer system for increasing the local contrast of railway transport images

Serhiy Balovsyak, Alexander Derevyanchuk, Hanna Kravchenko, Olga P. Kroitor, Vasyl Tomash

202114 citationsDOI

Abstract

This article describes a computer system for increasing the local contrast of railway images obtained with digital video cameras. The local contrast of the images increases within the rectangular windows, for each of which the minimum and maximum brightness values are determined. Based on such extreme brightness values, the lower and upper envelope brightness of the image are calculated. By smoothing of the envelopes the artefacts that appear in the image after increasing the local contrast based on its envelopes are significantly reduced. The images are read to the control computer from USB video cameras. The software implementation of image processing is created in Python.

Topics & Concepts

Contrast (vision)Computer scienceBrightnessComputer visionComputer graphics (images)USBArtificial intelligenceSoftwarePython (programming language)Digital imageImage processingImage (mathematics)OpticsPhysicsOperating systemProgramming languageRemote Sensing and LiDAR Applications3D Modeling in Geospatial ApplicationsAutomated Road and Building Extraction