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Novel Region Growing Mechanism for Object Detection in a Complex Background

  • Tamanna SahooEmail author
  • Bibhuprasad Mohanty
Conference paper
  • 11 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 665)

Abstract

Object detection is vital for visual processing applications. In this work, the desired object in an image is detected by the help of the wavelet coefficient feature (WCF) extraction and region growing technique. The region growing technique is based upon the appropriate selection of seed block computation and adjacency thresholding technique. The novelty of the proposed work is based on computation of seed block using WCF from the dynamics of the image instead of an image itself. Haar filter has been applied to transform the image after two level of decomposition for WCF extraction and to take care of the reduction in time complexity of the system. The extensive simulation-based experiment demonstrates the proposed methodology efficiently detects the object even in the presence of complex or cluttered (dynamic) background.

Keywords

Object detection Wavelet coefficient feature Seed block Region growing 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringInstitute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University)BhubaneswarIndia

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