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Shadow Detection and Compensation in Aerial Images using MATLAB

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 119 - Number 20
Year of Publication: 2015
Authors:
Sachin Tiwari
Krishna Chauhan
Yashwant Kurmi
10.5120/21181-4230

Sachin Tiwari, Krishna Chauhan and Yashwant Kurmi. Article: Shadow Detection and Compensation in Aerial Images using MATLAB. International Journal of Computer Applications 119(20):5-9, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Sachin Tiwari and Krishna Chauhan and Yashwant Kurmi},
	title = {Article: Shadow Detection and Compensation in Aerial Images using MATLAB},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {119},
	number = {20},
	pages = {5-9},
	month = {June},
	note = {Full text available}
}

Abstract

Recently, Kuo-Liang Chung presented an efficient algorithm uses the ratio of hue over intensity as the parameter to determine the coarse shadow map and then the local thresholding method (STS) in which it needs the different threshold levels which is comparatively more time consuming (and if the threshold is not proper then the resultant image is not the desired image, because threshold determination is typical task in itself) for fine shadow determination in color aerial images. In our proposed method we again modify the ratio with some empirical relation that give better result taking less time. Under four testing images, experimental results show that, for all four images that are low and medium intensity images have better shadow detection but the shadow compensation algorithm is gives the good result in all the testing images. We also have the comparison between three algorithms Tsai's, STS and our proposed algorithms with result of shadow detected images [15].

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