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Depth edge detection using edge-preserving filter and morphological operations

Author

Listed:
  • Thai Leang Sung

    (Chonbuk National University)

  • Hyo Jong Lee

    (Chonbuk National University)

Abstract

Canny edge detection principle and morphological operations have been used for depth edge detection. Several image smoothing filters were proposed for the enhancement of the detection task. However, an image smoothing filter can blur the edges of an image. In this paper, we propose an enhancement of depth edge detection using an edge-preserving filter, bilateral filter. The filter smooths an image and reduces the edge blurring effects across the edge such as halos and phantom. We maintain a canny edge detection principle and incorporate it with morphological properties. The results show that, this method can detect edges of a depth image better than the method without the edge-preserving filter such as gaussian and median blur.

Suggested Citation

  • Thai Leang Sung & Hyo Jong Lee, 2020. "Depth edge detection using edge-preserving filter and morphological operations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(4), pages 812-817, August.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:4:d:10.1007_s13198-019-00881-y
    DOI: 10.1007/s13198-019-00881-y
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    Cited by:

    1. Jibi G. Thanikkal & Ashwani Kumar Dubey & M. T. Thomas, 2023. "A novel edge detection method for medicinal plant's leaf features extraction," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 448-458, February.

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