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Shadow Detection: A Review of Various Approaches to Enhance Image Quality

N. Vincent1 , S. Mathew2

Section:Review Paper, Product Type: Journal Paper
Volume-2 , Issue-4 , Page no. 49-54, Apr-2014

Online published on Apr 30, 2014

Copyright © N. Vincent, S. Mathew . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Vincent, S. Mathew, “Shadow Detection: A Review of Various Approaches to Enhance Image Quality,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.49-54, 2014.

MLA Style Citation: N. Vincent, S. Mathew "Shadow Detection: A Review of Various Approaches to Enhance Image Quality." International Journal of Computer Sciences and Engineering 2.4 (2014): 49-54.

APA Style Citation: N. Vincent, S. Mathew, (2014). Shadow Detection: A Review of Various Approaches to Enhance Image Quality. International Journal of Computer Sciences and Engineering, 2(4), 49-54.

BibTex Style Citation:
@article{Vincent_2014,
author = {N. Vincent, S. Mathew},
title = {Shadow Detection: A Review of Various Approaches to Enhance Image Quality},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2014},
volume = {2},
Issue = {4},
month = {4},
year = {2014},
issn = {2347-2693},
pages = {49-54},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=107},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=107
TI - Shadow Detection: A Review of Various Approaches to Enhance Image Quality
T2 - International Journal of Computer Sciences and Engineering
AU - N. Vincent, S. Mathew
PY - 2014
DA - 2014/04/30
PB - IJCSE, Indore, INDIA
SP - 49-54
IS - 4
VL - 2
SN - 2347-2693
ER -

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Abstract

Shadow Elimination is the removal of shadow without disturbing the quality of the image from either indoor and outdoor scenes or any other scenes. This review covers up all the different techniques and algorithms used in shadow elimination process as well as gives a brief description of the advantage and disadvantage of each algorithm used; therefore making an easy platform for the researchers to work more precisely with image processing to yield better growth in science and technology especially in geostatistic.

Key-Words / Index Term

Shadow Elimination; Image processing; Algorithms; Features; Technology

References

[1]. https://reference.wolfram.com/mathematica/tutorial/ImageProcessing.htm
[2]. Alessandro Leone CD, and Francesco Buccolieri: A shadow elimination approach in video-surveillance context. Pattern Recognition Letters 2006, 27(5):345-355.
[3]. Sanjeev kumar Ak: Shadow detection and removal in colour images using matlab. International Journal of Engineering Science and Technology 2010, 2(9):4482-4486.
[4]. Shugen Wang YW: Shadow Detection and Compensation in High Resolution Satellite Image Based on Retinex. In: Image and Graphics, 2009 ICIG `09 Fifth International Conference. Xi`an, Shanxi 2009: 209 - 212
[5]. Andres Sanina CS, Brian C. Lovella: Shadow detection: A survey and comparative evaluation of recent methods. Pattern Recognition Letters 2011, 45(4):1684-1695.
[6]. A. Prati IM, M. Trivedi, and R. Cucchiara.: Detecting moving shadows: algorithms and evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 2003, 25(7):918-923.
[7]. W. Hsieh W-FH, C.-J. Chang, Y.-S. Chen: Shadow elimination for effective moving object detection by Gaussian shadow modeling. Image and Vision Computing 2003, 21(6):505-516.
[8]. T. Horprasert DH, L. Davis: A statistical approach for real-time robust background subtraction and shadow detection. In: Frame-Rate Workshop: 1999: IEEE ICCV�99; 1999.
[9]. Bangyu Sun SL: Moving Cast Shadow Detection of Vehicle Using Combined Color Models. In: Pattern Recognition (CCPR): 2010; Chinese; 2010: 1-5.
[10]. H. Nicolas J-MP: Joint moving cast shadows segmentation and light source detection in video sequences. Signal Processing: Image Communication 2006, 21(1):22-43.
[11]. Y.-L. Tian ML, A. Hampapur: Robust and efficient foreground analysis for real-time video surveillance. In: Computer Vision and Pattern Recognition: 2005: IEEE Conference 2005.
[12]. Kamath S-CSCaC: Robust Background Subtraction with Foreground Validation for Urban Traffic Video. EURASIP Journal on Advances in Signal Processing 2005.
[13]. AVERY Ryan P GZ, YINHAI WANG ,NIHAN Nancy L.: An Investigation into Shadow Removal from Traffic Images. National Research Council 2007, 17: 70-77.
[14]. Fredembach CaF, G. D: Path-based shadow removal. In: 10th Congress of the International Colour Association Edited by 05 AC. Granada; 2005.
[15]. Yue Wang A SWA: SHADOW DETECTION OF URBAN COLOR AERIAL IMAGES BASED ON PARTIAL DIFFERENTIAL EQUATIONS.
[16]. Paul L. Rosin TE: Image Difference Threshold Strategies and Shadow Detection. BMVC `95 Proceedings of the 1995 British conference on Machine vision 1995:347-356.
[17]. Sanyam Anand RT: Detection and Removal of Cast Shadow from Digital GrayScale Images using Novel Fuzzy Technique. IJCST 2012, 3(2).
[18]. SUMIT KUMAR SINGH MS: AN ADAPTIVE BACKGROUND UPDATION AND GRADIENT BASED SHADOW REMOVAL METHOD. International Journal of Image Processing and Vision Sciences 2012, 2(1):2278 � 1110.
[19]. Barczak ALC: Experiments with Object Tracking in the Presence of Partial Occlusions.
[20]. Daisuke Miyazaki YM, Katsushi Ikeuchi Interactive Shadow Removal from a Single Image Using Hierarchical Graph Cut. Lecture Notes in Computer Science 2010, 5994:234-245.
[21]. M OAaS: From shape from shading to object recognition. Int J of Pattern Recognition and Artificial intelligence 1998, 12(7):969-984.
[22]. Yang Yijun ZRaJW: Detection of shadow areas from aerial imagery. Signal Processing 2002.
[23]. Shibam Das AA: A Review: Shadow Detection And Shadow Removal from Images. International Journal of Engineering Trends and Technology (IJETT) 2013, 4(5).
[24]. Yung WWLLCC-CPNHC: Highly accurate texture-based vehicle segmentation method. Optical Engineering 2004, 43(3).
[25]. Elena Salvador Ac, Touradj Ebrahimi: Cast shadow segmentation using invariant color features. Computer Vision and Image Understanding 2004, 95(2):238-259.
[26]. Sam-Yong Kim SYO: On road vehicle detection and tracking based on road context and the ambient lighting adaptive framework. International Journal of Imaging Systems and Technology 2007, 18(5-6):283-295.
[27]. www.cs.huji.ac.il/~danix/ShadowRemoval/.
[28]. Girisha R MS: Self Shadow Elimination Algorithm for Surveillance Videos using Inferential Difference in Mean Statistics. International Journal of Computer Applications 2010:507-824.
[29]. Jacques JCS, Jung, C.R. ,Raupp Musse: Background Subtraction and Shadow Detection in Grayscale Video Sequences. In: SIBGRAPI 2005. Edited by Processing CGaI. Brazilian 2005: 189 - 196.
[30]. AmirReza Shahtahmassebi NY, Ke Wang, Nathan Moore, Zhangquan Shen Review of shadow detection and de-shadowing methods in remote sensing. Chinese Geographical Science 2013, 23(4):403-420.
[31]. Sanjeev Kumar , Anupreet Kaur Alorithm For Shadow Detection In Real Colour Images. (IJCSE) Vol. 02, No. 07, 2010, 2444-2446.