A New Structure of Stereo Algorithm Using Pixel Based Differences and Weighted Median Filter

Authors

  • Y. Gan Universiti Teknikal Malaysia Melaka
  • R.A. Hamzah
  • N.S. Nik Anwar

Abstract

This paper proposed a new algorithm for stereo vision system to obtain depth map or disparity map. The proposed stereo vision algorithm consists of three stages, matching cost computation, disparity optimization and disparity refinement. The first stage starts with matching cost computation, where pixel based differences methods are used. The matching methods are the combination of Absolute Difference (AD) and Gradient Matching (GM). Next, the second stage; disparity optimization utilizes Winner-Takes-All (WTA) technique to normalize the disparity values of each pixel of the image. Finally, for disparity refinement stage, weighted median (WM) filter is added to reduce and smother the noise on the disparity map.

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Author Biography

Y. Gan, Universiti Teknikal Malaysia Melaka

Department of Electrical Engineering and Student

References

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Published

2019-10-29

How to Cite

Gan, Y., Hamzah, R., & Nik Anwar, N. (2019). A New Structure of Stereo Algorithm Using Pixel Based Differences and Weighted Median Filter. International Journal of Human and Technology Interaction (IJHaTI), 3(2 October), 23–28. Retrieved from https://ijhati.utem.edu.my/ijhati/article/view/5261

Issue

Vol. 3 No. 2 October (2019)

Section

System Engineering

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