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Proceedings Paper

Vision enhancement of line following robot using Wiener filter and morphology
Author(s): Walaa E. Elhady; Heba A. Elnemr; Gamal Selim
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Paper Abstract

This paper presents preliminary development of the LFR which use a normal laptop with a web cam to guide itself through a track. The designed LFR is insensitive to environmental factors such as darkness, lighting, camera distortion or line color. This development is based on computer vision enhancement using digital image processing. It is accomplished through the following stages: Firstly, the acquired RGB image using the web cam is converted to another color coordinates for testing and comparing to choose the best color space. After that, the image contrast is enhanced using adaptive histogram equalization, and then the image is filtered using wiener filter. Finally morphological operations are carried out. The results are evaluated qualitatively and quantitatively from the points of peak signal-to-noise ratio (PSNR), entropy, and image smoothness. The results show that the proposed method is promising for vision enhancement of LFR.

Paper Details

Date Published: 30 September 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851H (30 September 2011); doi: 10.1117/12.913418
Show Author Affiliations
Walaa E. Elhady, October 6 Univ. (Egypt)
Heba A. Elnemr, Electronics Research Institute (Egypt)
Gamal Selim, Arab Academy for Science & Technology (Egypt)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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