Vehicular Detection Technique using Image Processing

Sheryl Radley*, Julia Punitha Malar Dhas**, S. Stewart Kirubakaran***
* Meenakshi College of Engineering, Chennai, Tamil Nadu, India.
**-*** Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Periodicity:July - September'2022


The increasing traffic volume creates a greatest challenge in today's traffic research. It is important to know the road traffic density for effective traffic management and Intelligent Transportation System (ITS). Traditional method of detecting vehicles from video is image subtraction which is not effective as it is susceptible to changing levels of brightness. And hence the proposed algorithm detects vehicles from an image in a more precise manner. The proposed work uses image processing that involves the techniques such as image acquisition, image enhancement, and Image segmentation to retrieve image from the source and enhance the contrast and brightness of the image for successful surveillance on transportation system.


ITS, Image Processing, Image Segmentation, Image Acquisition, Image Enhancement.

How to Cite this Article?

Radley, S., Dhas, J. P. M., and Kirubakaran, S. S. (2022). Vehicular Detection Technique using Image Processing. i-manager’s Journal on Image Processing, 9(3), 1-9.


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