• Corpus ID: 8912263

A Review : Shadow Detection and Removal

  title={A Review : Shadow Detection and Removal},
  author={Vijay Chondagar and Harshiv Pandya and Rinkesh Patel},
Shadow detection and removal in various real life scenarios including surveillance system, indoor outdoor scenes, and computer vision system remained a challenging task. Shadow detection and removal is a very crucial and inevitable task of some computer vision algorithms for applications such as image segmentation and object detection and tracking. Shadows in an image can reveal information about the object’s shape and orientation, and even about the light source. Shadow in traffic surveillance… 

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A.A.Maxton, “A Survey on Shadow Detection Methods”,IJARCET,Volume3

  • Issue
  • 2014

An Improved Shadow Segmentation Method

  • For Color Images Based on Intensity”, IJSER,
  • 2014

and Smitha dharan , “ shadow detection using tricolor attenuation model enhanced with adaptive histogram equalization

  • A Survey on Shadow Detection Methods ” , IJARCET , Volume 3 , Issue 4 , April
  • 2014

Gamit, “A Survey on Various Shadow Detection Methods”,IJETAE

  • Issue
  • 2015