Vision enhancement of line following robot using Wiener filter and morphology

Walaa E. Elhady; Heba A. Elnemr; Gamal Selim

doi:10.1117/12.913418

30 September 2011 Vision enhancement of line following robot using Wiener filter and morphology

Walaa E. Elhady, Heba A. Elnemr, Gamal Selim

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82851H (2011) https://doi.org/10.1117/12.913418
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Walaa E. Elhady, Heba A. Elnemr, and Gamal Selim "Vision enhancement of line following robot using Wiener filter and morphology", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851H (30 September 2011); https://doi.org/10.1117/12.913418

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