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Traffic Image Classification using Horizontal Slice Algorithm

by Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 148 - Number 11
Year of Publication: 2016
Authors: Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen
10.5120/ijca2016911297

Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen . Traffic Image Classification using Horizontal Slice Algorithm. International Journal of Computer Applications. 148, 11 ( Aug 2016), 30-34. DOI=10.5120/ijca2016911297

@article{ 10.5120/ijca2016911297,
author = { Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen },
title = { Traffic Image Classification using Horizontal Slice Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 148 },
number = { 11 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume148/number11/25803-2016911297/ },
doi = { 10.5120/ijca2016911297 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:53:28.328665+05:30
%A Luong Anh Tuan Nguyen
%A Thi-Ngoc-Thanh Nguyen
%T Traffic Image Classification using Horizontal Slice Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 148
%N 11
%P 30-34
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traffic image classification to identify the traffic density will support the traffic problems such as intelligent traffic signal control, traffic planning, etc. This paper proposes a novel traffic image classification method based on horizontal slice algorithm and histogram. The system model is designed and evaluated with the image datasets of Ho Chi Minh city, Vietnam. The best accuracy result can obtain 91%.

References
  1. Ozkurt C, Camci F. Automatic traffic density estimation and vehicle classification for traffic surveillance systems using Neural Networks. Mathematical and Computational Applications. 2009; 14(3):187–96.
  2. C. Stuiz, T. A. Runkler, “Classification and Predicts of Road Traffic using Application Specific Fuzzy Clustering”, Fuzzy Systems, IEEE Transactions, pp. 297-308, 2002.
  3. Al Bovik (2000), Handbook of Image and Video Processing, Academic Press.
  4. Rafael C.Gonzalez, Richard E. Woods ( 1993), Digital Image Processing, Addison Wesley Pub.Comp.
  5. Luong Anh Tuan Nguyen, Huu Khuong Nguyen. Traffic Density Identification Based On Histogram. Journal of Transportation Science and Technology, ISSN: 1859-4263, Vol 15-05/2015, pp 23-27.
  6. Xiangyun Ye, Mohamed Cheriet, Senior Member, Ching Y. Suen (2001), Stroke-Model-Based Character Extraction from Gray-Level Document Images, IEEE.
  7. C. C. Sun. S. J. Ruan, M. C. Shie, T. W. Pai, “Dynamic Contrast Enhancement based on Histogram Specification,” IEEE Transactions on Consumer Electronics, 51(4), pp.1300-1305, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Traffic image classification horizontal slice algorithm histogram

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