Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)

Research on Image Processing Algorithm Based on DSP

Authors
Xinfeng Yang, Fengzhi Huang
Corresponding Author
Xinfeng Yang
Available Online May 2018.
DOI
10.2991/snce-18.2018.205How to use a DOI?
Keywords
Digital image process; Filter; Enhancement; Segmentation
Abstract

This thesis mainly discusses the fundamental theories and key technologies of digital image processing algorithms, and discusses the methods of image filtering, image enhancement and image segmentation. To solve the large quantity of data and the complicated requirements in image processing algorithms, this paper takes TI's TMS320C6713 as the center processing unit to design a real-time image processing system. It can achieve the methods including median filtering, histogram equalization, edge detection, foreground extraction, and binarization. In CCS3.3 simulation environment, the results show that the algorithms designed achieve the desired functional requirements.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
Series
Advances in Computer Science Research
Publication Date
May 2018
ISBN
10.2991/snce-18.2018.205
ISSN
2352-538X
DOI
10.2991/snce-18.2018.205How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xinfeng Yang
AU  - Fengzhi Huang
PY  - 2018/05
DA  - 2018/05
TI  - Research on Image Processing Algorithm Based on DSP
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 996
EP  - 1000
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.205
DO  - 10.2991/snce-18.2018.205
ID  - Yang2018/05
ER  -