Development of Edge-Based Lane Detection Algorithm using Image Processing

Moveh Samuel, Maziah Mohamad, Shaharil Mad Saad, Mohamed Hussein

Abstract


Image processing is known as the process of converting an image into a digital form so as to obtain an enhanced image and to extract useful information from it. This paper presents a simple step by step analysis of edges-based lane detection. Some of the known and common edge detection techniques such as Sobel, Canny, Prewitt and Roberts were studied and evaluated using image segmentation, morphology, image statistic and Hough Transform. The result indicated some similarities in the process as well as major differences. These differences were observed to be as a result of the high sensitivity of the edge detector in detecting noise such as cast shadows and unmarked lanes. This could be noticed in the case of canny edge detector. Also these data could be considered in the development of a multi-system edge detector, which could be used to analyze various road scenes and runs the appropriate edge detector best suited for the current situation.

Keywords


lane detection; edge detection; image processing

References


Zhaozheng Y. and Yu H. H., 2003. Vision-based Lane Detection Using Hough Transform: ECE 533. Course project on Image processing.

Karl K., Sridhar L., 1995. A Deformable-Template Approach to Lane Detection. Proceedings of the Intelligent Vehicles '95 Symposium, 25-26 Sept. 1995 Page(s): 54 -59

Kreucher, C.; Lakshmanan, S., 1999. A frequency domain approach to lane detection in roadway Image Processing. International Conference on ICIP 99, Volume: 2, 24-28 Oct.1999. Pp 31 -35

Muhammad B. A. and Tae-Sun C., 1999. Local Threshold and Boolean Function Based Edge Detection, IEEE Transactions on Consumer Electronics, Vol. 45, No 3

Shameem A., Rajayalakshmi D. and Syed A. S., A Theoretical Survey for Edge Detection Techniques and Watershed Transformation, International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 2, Issue 1, pp: 54-58.

Meghana D. M., Andurkar G. K., 2012. Edge Detection Technique: A Comparative Approach, World Journal of Science and Technology

Beant K., Anil G., 2011. Mathematical Morphological Edge Detection for Remote Sensing Images, IEEE, pp: 324-327

Canny J. F., 1986. A Computational Approach to Edge Detection. IEEE Trans. Pattern Anal. Machine Intel, vol. PAMI-8, no. 6, pp. 679-697


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

JOIV : International Journal on Informatics Visualization
Published by Information Technology Department
Politeknik Negeri Padang, Indonesia

© JOIV - ISSN : 2549-9610 | e-ISSN : 2549-9904 

Phone : +62-82386434344
Email  : hidraamnur@live.com
              fazrolpnp@gmail.com


Creative Commons License is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

View My Stats