Publication detail
Image Processing on Raspberry Pi in Matlab
HORÁK, K. ŽALUD, L.
Original Title
Image Processing on Raspberry Pi in Matlab
English Title
Image Processing on Raspberry Pi in Matlab
Type
journal article - other
Language
en
Original Abstract
This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.
English abstract
This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.
Keywords
Raspberry Pi, Matlab, Simulink, computer vision, edge detection, Sobel operator, corner detection, Harris&Stephens algorithm, line detection, Hough transform.
RIV year
2015
Released
04.11.2015
Publisher
University of Chemistry and Technology
Location
Prague
ISBN
2194-5357
Periodical
Advances in Intelligent Systems and Computing
Number
378
State
CH
Pages from
25
Pages to
25
Pages count
63
URL
Documents
BibTex
@article{BUT126313,
author="Karel {Horák} and Luděk {Žalud}",
title="Image Processing on Raspberry Pi in Matlab",
annote="This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.",
address="University of Chemistry and Technology",
chapter="126313",
howpublished="print",
institution="University of Chemistry and Technology",
number="378",
year="2015",
month="november",
pages="25--25",
publisher="University of Chemistry and Technology",
type="journal article - other"
}