Proceedings of the 2015 Conference on Informatization in Education, Management and Business

Research on the Natural Image Classification and Segmentation Algorithm based on GPU and Neural Network

Authors
Chen Liwei
Corresponding Author
Chen Liwei
Available Online September 2015.
DOI
https://doi.org/10.2991/iemb-15.2015.5How to use a DOI?
Keywords
Image Classification; Image Segmentation; GPU and Neural Network.
Abstract

In this paper, we conduct research on the natural image classification and segmentation algorithm based on GPU and neural network. The application of image segmentation is very broad, almost appeared in all areas related to image processing, and involved in various types. With the fast development of computing technology and integrated circuit technology, the renewal speed of graphics hardware. Our method combines the GPU with network to optimize the traditional image segmentation and classification methods which will be meaningful. In the future, we will focus our attention on the hardware deployment of the GPU to modify the current approach.

Copyright
© 2015, 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 2015 Conference on Informatization in Education, Management and Business
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2015
ISBN
978-94-6252-105-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/iemb-15.2015.5How to use a DOI?
Copyright
© 2015, 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  - Chen Liwei
PY  - 2015/09
DA  - 2015/09
TI  - Research on the Natural Image Classification and Segmentation Algorithm based on GPU and Neural Network
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 22
EP  - 26
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.5
DO  - https://doi.org/10.2991/iemb-15.2015.5
ID  - Liwei2015/09
ER  -