Development of Line Detection Algorithm |
Author(s): |
| Satyajit Sambhaji Deokar , KES Rajarambapu Institute of Technology, Maharashtra, India; Mahadev Patil, Rajarambapu Institute of technology, Maharashtra, India |
Keywords: |
| Line Detection, Gaussian Blur, Region of Interest, False Detection, OTSU Thresholding |
Abstract |
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Road detection in images is an application of automated line detection, which is a traditional topic in image processing. Many conventional line detectors, including the Gabor filter, the Radon transform, and the second order derivative of the Gaussian Blur, respond to both lines and edges. For instance, when only dark lines are needed, they will respond strongly to the edges of bright lines. Here, we identify the picture's area of interest (ROI). In this paper, we propose a line detection method that uses OTSU thresholding and the first derivative of the Gaussian function to reduce false detections, when only dark (or bright) lines are extracted. It can detect dark lines without much false detection. The proposed algorithm is tested through experiments using a variety of images and lighting setups. |
Other Details |
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Paper ID: IJSRDV11I60056 Published in: Volume : 11, Issue : 6 Publication Date: 01/09/2023 Page(s): 143-147 |
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