CFP last date
22 April 2024
Reseach Article

Curved Lane Detection using Improved Hough Transform and CLAHE in a Multi-Channel ROI

by Gurjyot Kaur, Amit Chhabra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 13
Year of Publication: 2015
Authors: Gurjyot Kaur, Amit Chhabra
10.5120/21763-5011

Gurjyot Kaur, Amit Chhabra . Curved Lane Detection using Improved Hough Transform and CLAHE in a Multi-Channel ROI. International Journal of Computer Applications. 122, 13 ( July 2015), 32-35. DOI=10.5120/21763-5011

@article{ 10.5120/21763-5011,
author = { Gurjyot Kaur, Amit Chhabra },
title = { Curved Lane Detection using Improved Hough Transform and CLAHE in a Multi-Channel ROI },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 13 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number13/21763-5011/ },
doi = { 10.5120/21763-5011 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:29.114531+05:30
%A Gurjyot Kaur
%A Amit Chhabra
%T Curved Lane Detection using Improved Hough Transform and CLAHE in a Multi-Channel ROI
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 13
%P 32-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increase in advent of intelligent vehicle technology, LDWS technique is actively developing to provide assistance to drivers in generating warning signal in case of lane departure. In this paper, the input image is divided into four regions of interest. Then the CLAHE is applied on the given ROI for better image contrast and removal of noise using gradient filter. Improved Hough Transform is applied on the given image for the detection of curved and straight lanes. After detecting the lanes, they are colored with green color so that they are clearly visible. The proposed algorithm is analysed based on the parameters like Accuracy, BER, F-measure, and Sensitivity. The analysis shows that this algorithm provides efficient and effective performance compared to the existing algorithm.

References
  1. Cho, Jae-Hyun, Young-Min Jang, and Sang-Bock Cho. "Lane recognition algorithm using the Hough transform with applied accumulator cells in multi-channel ROI. " In Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on, pp. 1-3. IEEE, 2014.
  2. Low, Chan Yee, Hairi Zamzuri, and Saiful Amri Mazlan. "Simple Robust Road Lane Detection Algorithm". IEEE, 2014.
  3. Ding, Dajun, Chanho Lee, and Kwang-yeob Lee. "An adaptive road ROI determination algorithm for lane detection. " In TENCON 2013-2013 IEEE Region 10 Conference (31194), pp. 1-4. IEEE, 2013.
  4. Fani, Hongli, and Weihua Wang. "Edge Detection of Color Road Image Based on Lab Model. " In Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on, pp. 298-301. IEEE, 2013.
  5. Nalla, Phaneendra, GCL Abhiraman Goud, and V. Padmaja. "ACCIDENT AVOIDING SYSTEM USING LANE DETECTION. " IJRECE 1, no. 1 (2013): 01-04.
  6. Jian, Wang, Sun Sisi, Gong Jingchao, and Cao Yu. "Research of lane detection and recognition technology based on morphology feature. " In Control and Decision Conference (CCDC), 2013 25th Chinese, pp. 3827-3831. IEEE, 2013.
  7. Mariut, F. , C. Fosalau, and D. Petrisor. "Lane mark detection using Hough Transform" In Electrical and Power Engineering (EPE), 2012 International Conference and Exposition on, pp. 871-875. IEEE, 2012.
  8. Ghazali, Kamarul, Rui Xiao, and Jie Ma. "Road lane detection using H-maxima and improved hough transform. " In Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on, pp. 205-208. IEEE, 2012.
  9. Chen, Yong, and Mingyi He. "Sharp curve lane boundaries projective model and detection. " In Industrial Informatics (INDIN), 2012 10th IEEE International Conference on, pp. 1188-1193. IEEE, 2012.
  10. Xu, Zhiyuan, Xiaoming Liu, and Na Ji. "Fog removal from color images using contrast limited adaptive histogram equalization. " In Image and Signal Processing, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

ADAS LDWS Lane Detection Hough Transform ROI