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Defocus Map-Based Segmentation of Automotive Vehicles

  • Senthil Kumar ThangavelEmail author
  • Nirmala Rajendran
  • Karthikeyan Vaiapury
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Defocus estimation plays a vital role in segmentation and computer vision applications. Most of the existing work uses defocus map for segmentation, matting, decolorization and salient region detection. In this paper, we propose to use both defocus map and grabcut using wavelet for reliable segmentation of the image. The result shows the comparative analysis between the bi-orthogonal and Haar function using wavelet, grabcut and defocus map. Experimental results show promising results, and hence, this algorithm can be used to obtain the defocus map of the scene.

Keywords

Defocus map Segmentation Wavelet Grabcut 

Notes

Acknowledgements

This work is performed as a part of internship with TCS Innovation Lab.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Senthil Kumar Thangavel
    • 1
    Email author
  • Nirmala Rajendran
    • 2
  • Karthikeyan Vaiapury
    • 2
  1. 1.Department of Computer Science and EngineeringAmrita School of Engineering, Amrita Vishwa VidyapeethamCoimbatoreIndia
  2. 2.TCS Research and Innovation, Tata Consultancy ServicesChennaiIndia

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