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The Journal of Supercomputing

Erschienen in:

06.03.2018

Efficient shadow detection by using PSO segmentation and region-based boundary detection technique

verfasst von: D. Usha Nandini, Ezil Sam Leni

Erschienen in: The Journal of Supercomputing | Ausgabe 7/2019

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Abstract

The presence of shadows in satellite images is inevitable, and hence, shadow detection and removal has become very essential. In this paper, a shadow detection algorithm based on PSO has been used to identify shadows in very high-resolution satellite images. The image is first preprocessed using a bilateral filter to eliminate the noise followed by which PSO-based shadow segmentation is used to segment the shadow regions. Canny edge detection is done to identify the edges of the objects in the image. The results of the edge detection and segmentation are combined using a logical operator to generate the final shadow segmented image with well-defined boundaries. The accuracy is validated using precision and recall parameters.

Vorheriger Artikel Correction to: Optimized cloud-based scheduling for protein secondary structure analysis

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Usha Nandini D, Leni ES (2014) A survey of the existing shadow detection techniques. In: International Conference on Control, Instrumentation, Communication and Computational Technologies, pp 175–177

Tsai VJD (2006) A comparative study on shadow compensation of color aeriel images invariant color models. IEEE Trans Geosci Remote Sens 44(6):1661–1671CrossRef

Matens D, Baesens B, Fawcett T (2011) Editorial survey: swarm intelligence for data mining. Mach Learn 82(1):1–42MathSciNetCrossRef

Javed O, Shah M (2002) Tracking and object classification for automated surveillance. In: Proceedings of European Conference on Computer Vision, vol 4, pp 343–357

Leone A, Distante C (2007) Shadow detection of moving objects based on texture analysis. Pattern Recogn 40(4):1222–1233MATHCrossRef

Tian YL, Lu M, Hampapu A (2005) Robust and efficient foreground analysis for real-time videa surveillance. In: IEEE Conference on Computer Vision and Pattern Recognition, vol 1, pp 1182–1187

Salvador E, Cavallaro A, Eebrahimi T (2001) Shadoe identification and classification use invariant color models. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp 1545–1548

Gonzalez RC, Woods RE (1992) Digital image processing. Addison-Wesley, Reading

Fang LZ, Qiong WY, Sheng YZ (2008) A method to segment moving vehicle cast shadow based on wavelet transform. Pattern Recogn Lett 29(16):2182–2188CrossRef

10.

Huang J, Xie W, Tang L (2004) Detection of and compensation for shadows in colored urban aerial images. In: 5th World Congress, Intelligent Control and Automation, Hangzhou, China, Jun 2004, pp 3098–3100

11.

Polidorio AM, Flores FC, Imai NN, Tommaselli AMG, Franco C (2003) Automatic shadow segmentation in aerial color images. In: Proceedings XVI Brazilian Symposium on Computer graphics and Image Processing, Oct 2003, pp 270–277

12.

Otsu N (1979) A threshold selection method from gray level histograms. IEEE Trans Syst Man Cybern 8(1):62–69CrossRef

13.

Makarau Aliaksei, Ritcher Rudolf, Muller Rupert, Reinartz Peter (2011) Adaptive shadow detection using a blackbody radiator model. IEEE Trans Geosci Remote Sens 49(6):2049–2059CrossRef

14.

Fornarelli Girolamo, Giaquinto Antonio (2013) An unsupervised multi-swarm clustering technique for image segmentation. Swarm Evol Comput 11:31–45CrossRef

15.

Kennedy J, Eberhart R Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, pp 1942–1948

16.

Premalatha K, Natarajan AM (2009) Discrete PSO with GA operators for document clustering. Int J Recent Trends Eng 1(1):20–24

17.

Omran MGH, Aved Salman AE, Engelbrecht AP (2005) Dynamic clustering using particle swarm optimization with application in image segmentation. J Theor Adv 8:332–344MathSciNet

18.

Dhalia Sweetlin J, Nehemiah HK, Kannan A (2017) Feature selection using ant colony optimization with tandem-run recruitment to diagnose bronchitis from CT scan images, vol 145. Computer methods and programs in biomedicine. Elsevier, Amsterdam, pp 115–125

19.

Ganapathy S, Sethukkarasi R, Yogesh P, Vijayakumar P, Kannan A (2014) An intelligent temporal pattern classification system using fuzzy temporal rules and particle swarm optimization. Sadhana 39(2):283–302MathSciNetMATHCrossRef

20.

Nithya R, Muthu Priya K, Vigneshwari S (2017) Stitching large images by enhancing SURF and RANSAC algorithm. In: 2017 Second IEEE International Conference on Electrical, Computer and Communication Technologies, 22–24 Feb 2017

21.

Selvi M, Logambigai R, Ganapathy S, Khanna Nehemiah H, Arputharaj K (2017) An intelligent agent and fso based efficient routing algorithm for wireless sensor network. In: 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM). IEEE, pp 100–105

22.

Tomasai C, Manduchi R (1998) Bilateral filtering for gray and color images. In: Proceedings of IEEE International Conference on Computer Vision, Bombay, India

23.

Albert Mayan J, Ravi T (2014) Optimized regression testing using genetic algorithm and dependency structure matrix. Int J Appl Eng Res 9(20):7679–7690

Titel: Efficient shadow detection by using PSO segmentation and region-based boundary detection technique
verfasst von: D. Usha Nandini
Ezil Sam Leni
Publikationsdatum: 06.03.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 7/2019
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2292-y

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