Open Access
Issue |
MATEC Web Conf.
Volume 176, 2018
2018 6th International Forum on Industrial Design (IFID 2018)
|
|
---|---|---|
Article Number | 01041 | |
Number of page(s) | 4 | |
Section | Intelligent Design and Computer Technology | |
DOI | https://doi.org/10.1051/matecconf/201817601041 | |
Published online | 02 July 2018 |
- YANG Xiaoqing. Microscopic cell image processing and application based on morphology[J]. Computer Systems & Applications, Vol.2016,(03):p.220-224. [Google Scholar]
- Du Peijun. Two dimensional maximum entropy image segmentation based on artificial bee colony optimization[J]. Computer Engineering, 2012,(09): 223-225+243. [Google Scholar]
- QIAO Lingling, MAO xiaoju. Otsu image segmentation method based on improved genetic algorithm[J]. Journal of Changchun Institute of Technology(Natural Sciences Edition), Vol. 2016,(04):p.105-107. [Google Scholar]
- Melkemi K E.MohameclB.Sebti F.A multiagent system approach for image segmentation using genetic algorithms and extremal optimization heuristics[J]. Pattern Recognition Letters, 2016. 27(1 l):p.l230–1238. [Google Scholar]
- TUO Qian. Study of Image thresholding segmentation algorithm on maximum entropy combining genetic algorithm[D]. Kunming University of Science and Technology,2016. [Google Scholar]
- Shen Xiaoci. Research of two-dimensional entropy image segmentation method based on genetic algorithm[D]. China University of Geosciences (Beijing), 2008. [Google Scholar]
- Zhao Song, XIA Yanling. Improvement of DNA genetic algorithm two-dimensional maximum entropy image segmentation[J]. Silicon Valley, 2013,(02): 250-252+211. [Google Scholar]
- PENG Jing, ZHANG Baoge. A two-dimensional maximum entropy segmentation algorithm based on boundary feature[J]. Computer and Digital Engineering, 2008,(07): 18-20. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.