Home » Comparative Analysis of Single Image Shadow Detection and Removal in Aerial Images

Comparative Analysis of Single Image Shadow Detection and Removal in Aerial Images

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Abhishek Mishra

Dept. of ECE, Scope College of Engineering, Bhopal, India

email: setu17687@gmail.com

Bharti Chaurasia

Dept. of  ECE, Scope College of Engineering, Bhopal, India

email: bharti.chourasia27@gmail.com

Yashwant Kurmi

Dept. of ECE, Maulana Azad National Institute of Technology Bhopal, India

email:yashwantkurmi18@gmail.com

Abstract

The article for the specific region segmentation is discussed here. This paper compares the work done on the contour model based shadow detection algorithm with the random field model based shadow detection method. The contouring based shadow detection model adapts the traditional geometric active contours that the contour is steadily subjective toward segmenting the shadow region and the dark regions in the image.  The shadow region segmentation follows the post processing for optimal threshold calculation.  The complexity metric is constructed to separate the boundary of true shadow regions. Whereas the random field model based shadow detection method uses a superficial surface descriptor, and colour shade, to describe the colour surface variants. The conditional random field is combined with the colour descriptors to find illumination pairs and obtain the shadow regions. The shadow region riddance by local colour constancy uses anisotropic diffusion to estimate the local image pixel illumination in shadow region and provides the better performance in shadow region illumination enhancement.

Keywords

Shadow detection; Shadow removal; Aerial images; Conditional random field, Contour detection

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Cited as

Abhishek Mishra, Bharti Chaurasia and Yashwant Kurmi, “Comparative Analysis of Single Image Shadow Detection and Removal in Aerial Images,” International Journal of Advanced Engineering and Management, vol. 2, no. 4, pp. 86-89,  2017.

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