Open AccessA model for generation a motion-blurred image of a radiating object’s shadow from a series of high-quality images
Author(s) -
R.M. Galagan,
A. Muraviov,
A.S. Tomashuk
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/5/052011
Subject(s) - shadow (psychology) , computer vision , artificial intelligence , process (computing) , trajectory , computer science , high speed photography , object (grammar) , optics , motion (physics) , physics , psychology , psychotherapist , astronomy , operating system
The paper proposes a model of the reconstruction process for a series of images of the shadow casted by radiating cylindrical object and diffraction pattern from a motion-blurred image generated by an optical device at unequal speeds of an object’s movement and image generation by the device. Using the proposed model, methods and their software implementation, separate images of the shadow of the radiating objects and diffraction patterns were generated in order to obtain a motion-blurred image, which can later be stored in a database and used as a template for recognizing the trajectory and speed of an object’s movement, measuring its individual parameters, etc. The proposed model and methods can be improved and used in the future to optimize the optical monitoring system for the parameters of the radiating cylindrical objects, such as wire or optical fiber in the high-temperature process of their manufacture. Heated wire with a diameter of 200 microns made of NiCr alloy and carbon fiber with a diameter of 7 microns were used as the test objects for carrying out experiments.