A Novel Technique of Shadow Detection Using Color Invariant Technique

  • Leeza Panda
  • Bibhuprasad MohantyEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 109)


One of the major challenges for computer vision-based lane detection is the manifestation of shadows and other vehicles. It is challenging to diagnose the chaotic lanes when it has both the shadowed and unshadowed areas. Detection and removal of shadow is the procedure to intensify the computer vision application including image processing, video processing, etc. Shadows are partial darkness or obscurity within a part of space from which rays from a source of light are cut off by an interposed opaque body. The presence of shadows results in severe issues in road detection as the bounding line of shadows can be incorrectly recognized leading to a higher false rate detection. This paper attempts a simple and efficient algorithm to detect shadows in an image by finding out the shadow ratio and calculating the threshold and then creating a shadow boundary.


Road detection Shadow detection Thresholding Shadow ratio 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

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

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