Proceedings of the 2017 3rd International Conference on Social Science and Higher Education

Design and Implementation of Digital Image Processing Teaching Experimental System

Authors
Zengguo Sun, Yangguang Zhi, Luwei Zhang, Xiaodan Hu, Jinke Jiang
Corresponding Author
Zengguo Sun
Available Online September 2017.
DOI
https://doi.org/10.2991/icsshe-17.2017.77How to use a DOI?
Keywords
requirement analysis, structure design, Delphi language, digital image processing
Abstract
In order to satisfy the teaching requirements of the digital image processing course, the teaching experimental system for this course was developed. Requirement analysis, function design, and structure design were provided successively for the digital image processing teaching experimental system, and then, the system was coded and implemented by Delphi language. With the beautiful interface, convenient operation, and strong practicability, the system has functions of basic gray level transformation, histogram processing, spatial filtering, frequency domain filtering, noise reduction, edge detection, and morphological operation. Therefore, the system can be regarded as the assistant tool for digital image processing course teaching.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 3rd International Conference on Social Science and Higher Education
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2017
ISBN
978-94-6252-395-1
ISSN
2352-5398
DOI
https://doi.org/10.2991/icsshe-17.2017.77How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zengguo Sun
AU  - Yangguang Zhi
AU  - Luwei Zhang
AU  - Xiaodan Hu
AU  - Jinke Jiang
PY  - 2017/09
DA  - 2017/09
TI  - Design and Implementation of Digital Image Processing Teaching Experimental System
BT  - 2017 3rd International Conference on Social Science and Higher Education
PB  - Atlantis Press
SP  - 307
EP  - 312
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsshe-17.2017.77
DO  - https://doi.org/10.2991/icsshe-17.2017.77
ID  - Sun2017/09
ER  -