Publication detail
Image Processing Algorithm Visualiser
DAVÍDEK, D.
Original Title
Image Processing Algorithm Visualiser
English Title
Image Processing Algorithm Visualiser
Type
conference paper
Language
en
Original Abstract
A highly visual way to understand and develop computer vision algorithms is proposed. Image processing realization commonly sustains of successive function calls over the output image from the previous function. In the later phases (i.e. contour analysis, operations over segments) when the output argument of a function is not always an image, there is often a way to visualize the arguments by an image. The developed program described in this article is capable of executing basic computer vision algorithms over the input image sequentially and visualize individual steps outputs as image queue. The initialization of functions chain is possible with simple text input of individual function names with an easy option to program new algorithms.
English abstract
A highly visual way to understand and develop computer vision algorithms is proposed. Image processing realization commonly sustains of successive function calls over the output image from the previous function. In the later phases (i.e. contour analysis, operations over segments) when the output argument of a function is not always an image, there is often a way to visualize the arguments by an image. The developed program described in this article is capable of executing basic computer vision algorithms over the input image sequentially and visualize individual steps outputs as image queue. The initialization of functions chain is possible with simple text input of individual function names with an easy option to program new algorithms.
Keywords
computer vision, visualisation
Released
28.04.2016
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Location
Brno
ISBN
978-80-214-5350-0
Book
Proceedings of the 22nd Conference STUDENT EEICT 2016
Pages from
431
Pages to
435
Pages count
5
Documents
BibTex
@inproceedings{BUT124479,
author="Daniel {Davídek}",
title="Image Processing Algorithm Visualiser",
annote="A highly visual way to understand and develop computer vision algorithms is proposed. Image processing realization commonly sustains of successive function calls over the output image from the previous function. In the later phases (i.e. contour analysis, operations over segments) when the output argument of a function is not always an image, there is often a way to visualize the arguments by an image. The developed program described in this article is capable of executing basic computer vision algorithms over the input image sequentially and visualize individual steps outputs as image queue. The initialization of functions chain is possible with simple text input of individual function names with an easy option to program new algorithms.",
address="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
booktitle="Proceedings of the 22nd Conference STUDENT EEICT 2016",
chapter="124479",
howpublished="electronic, physical medium",
institution="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
year="2016",
month="april",
pages="431--435",
publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
type="conference paper"
}