Home » Single Image Shadow Detection and Removal in Aerial Images: A Review

Single Image Shadow Detection and Removal in Aerial Images: A Review

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Abhishek Mishra and Bharti Chaurasia

Scope college of Engineering, Bhopal, India
(1) e-mail: setu17687@gmail.com
(2) e-mail: setu17687@gmail.combharti.chourasia27@gmail.com

Abstract

This paper compared the work done on the contour model based shadow detection algorithm with the random field model based shadow detection method. the contour model based shadow detection algorithm tailoring the traditional model of the geometric active contours such that the new model of the contours is systematically biased toward segmenting the shadow and the dark regions in the image.  After detecting and segmenting the shadow and the dark regions in the image the  post processing is calculation of optimal threshold and a boundary complexity metric to distinguish the true shadows. Whereas the random field model based shadow detection method uses a surface descriptor, termed colour-shade, to capture gradual colour surface variations. The colour-shade descriptor incorporated into the condition random field model to find same illumination pairs and to obtain coherent shadow regions. The shadow removal method with local colour constancy computation uses less anisotropic diffusion to estimate the image pixel illuminant locally in shadow region.

Keywords

pdf-1In Press

Cited as

Abhishek Mishra and Bharti Chaurasia, “Single Image Shadow Detection and Removal in Aerial Images: A Review,” International Journal of Advanced Engineering and Management, Vol. 2, No. 2, press, 2017.

BibTex

References

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