CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Shadow Detection and Compensation in Aerial Images using MATLAB

by Sachin Tiwari, Krishna Chauhan, Yashwant Kurmi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 20
Year of Publication: 2015
Authors: Sachin Tiwari, Krishna Chauhan, Yashwant Kurmi
10.5120/21181-4230

Sachin Tiwari, Krishna Chauhan, Yashwant Kurmi . Shadow Detection and Compensation in Aerial Images using MATLAB. International Journal of Computer Applications. 119, 20 ( June 2015), 5-9. DOI=10.5120/21181-4230

@article{ 10.5120/21181-4230,
author = { Sachin Tiwari, Krishna Chauhan, Yashwant Kurmi },
title = { Shadow Detection and Compensation in Aerial Images using MATLAB },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 20 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number20/21181-4230/ },
doi = { 10.5120/21181-4230 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:32.868665+05:30
%A Sachin Tiwari
%A Krishna Chauhan
%A Yashwant Kurmi
%T Shadow Detection and Compensation in Aerial Images using MATLAB
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 20
%P 5-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
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].

References
  1. C. Fredembach, G. Finlayson,: Simple shadow removal", In Proceedings of International Conference on Pattern Recognition, (ICPR), pp. 832–835, 2006
  2. J. M. Wang, Y. C. Chung, C. L. Chang, S. W. Chen, "Shadow Detection and Removal for Traffic Images", Proc. IEEE International Conference on Networking, Sensing and Control, volume 1, pp. 649 – 654, 2004.
  3. T. Chen, W. Yin, X. S. Zhou, D. Comaniciu, and T. S. Huang, "Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models", Proceedings CVPR, volume 2, pp. 532-539, 2005.
  4. V. J. D. Tsai, " A comparative study on shadow removal of color aerial images in invariant color models," IEEE Trans . Geosci. Remote sens. ,vol. 44 ,no. 6 ,pp 1661-1671, jun. 2006
  5. Kuo-Liang Chung "Efficient Shadow Detection Of Color Aerial Images Based on Successive Thresholding Scheme," IEEE Trans. on Geosciences and Remote Sensing, Vol. 47, No. 2 Feb 2009.
  6. Kumar, S. ; Pant, M. ; Ray, A. "Differential evolution embedded Otsu's method for optimized image thresholding" , Information and Communication Technologies (WICT), 2011 World Congress, Page(s): 325 – 329, Year: 2011.
  7. G. Z. yang, D. N. Firmin, P. Burger, and S. R. Underwood "Structure Adaptive Anisotropic image filtering, "Image Vis. Comput. , vol. 14. no. 2pp. 135-145,Mar. 1996.
  8. R. McFeely C. Hughes* E. Jones M. Glavin: "Removal of non-uniform complex and compound Shadows from textured surfaces using adaptive Directional smoothing and the thin plate model" Published in IET Image Processing Received on 5th August 2009. Revised on 8th April 2010.
  9. Barrow, H. G. , Tenenbaum, J. M. : 'Recovering intrinsic scene characteristics from images'. Proc. Computer Vision Systems, 1978, pp. 3–26.
  10. L. Xu, F. Qi, and R. Jiang, "Shadow Removal from a Single Image," Proc. IEEE Int'l Conf. Intelligent Systems Design and Applications, pp. 1049-1054, 2006.
  11. W. K. Pratt, "Digital Image Processing, 2nd ed. New York: Wiley.
  12. N. Otsu's, "A Threshold selection method from gray level histograms," IEEE Trans. Syst. , Man, Cybern. ,vol. SMC-9 ,no. 1, pp. 62-69, jan. 1979.
  13. R. C. Gonzalez R. E. Woods, Digital Image Processing, 2nd ed. reading, MA:Addison-Wesley,2002.
  14. Kuo-Liang Chung, Yi-Ru Lin, and Yong-Huai Huang "Efficient Shadow Detection of Color Aerial Images Based on Successive Thresholding Scheme " IEEE Transactions On Geosciences And Remote Sensing, Vol. 47, No. 2, February 2009.
  15. Eli Arbel and Hagit Hel-Or. "Shadow Removal Using Intensity Surfaces and Texture Anchor Points". IEEE. transactions on pattern analysis and machine intelligence, vol. 33, no. 6, June 2011.
  16. Rafael C. Gonzalez, Richerd E. Woods and Steven L. Eddins "Digital Image Processing Using MATLAB®" 2nd ed. Tata Mc Graw Hill.
  17. Zhang Jin-Yu Chen Yan Huan Xian-Xiang,"Edge detection of images based on improved Sobel operator and Genatic Algorithm,".
  18. J. Yao and Z. Zhang, "Systematic static shadow detection," in Proc. 17th Int. Conf. pattern Recog. 2004, vol. 2, pp 76-79.
Index Terms

Computer Science
Information Sciences

Keywords

Shadow compensation modified hue intensity ratio shadow detection.

Powered by PhDFocusTM