A Comparative Study for Skeleton Representation Methods Using Data Visualization
DOI:
https://doi.org/10.29304/jqcm.2022.14.2.933Keywords:
Data Visualization, Skeletonization, Thinning algorithmsAbstract
Data visualization is a technique used to see the unseen information, that will help humanity to discover important things. There are many methods to represent the datasets, but data visualization is the best because it can preserve the information. Skeleton is used to analyse the visualization, thus data visualization gives efficient results. Comparison among well-known methods is the goal of this paper. The conclusion of this paper showed all the comparative results will be important for any further study. This study will use data visualization to discover novel dataset representations, which is the main goal of data visualization and can be useful in presenting necessary data.
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References
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[17] Madhuri Yadav1 , Ravindra Kumar Purwar1 , Mamta Mittal2, Handwritten Hindi character recognition: a review, ISSN 1751-9659 Received on 22nd February 2017 Revised 22nd February 2018 Accepted on 12th June 2018 E-First on 5th July 2018 doi: 10.1049/iet-ipr.2017.0184 www.ietdl.org.
[18] Matúš Gramblička1, a, Jozef Vaský1, b, Thinning algorithms comparison for vectorization of engineering drawings, December 2016.
[19] Fathima Haseena1 , Roseline Clara, Performance Analysis of Iterative Thinning Methods using Zhang Suen and Stentiford Algorithm, International Conference on Advancements in Computing Technologies - ICACT 2018 ISSN: 2454-4248 Volume: 4 Issue: 2.
[20] Sanket B. Suthar1,1 , Rahul S. Goradia2 , Bijal N. Dalwadi3 , Sagar Patel1 , Sandip Patel1 ,Performance Scrutiny of Thinning Algorithms on Printed Gujarati Characters and handwritten Numerals, 15 February 2017.
[21] Bilal Bataineh, An Iterative Thinning Algorithm for Binary Images Based on Sequential and Parallel Approaches, January 2018.
[22] Liping Yang, Diane Oyen, Brendt Wohlberg, A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis,2019.
[23] N. Neelima et al 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 032005, Rank based Approach for Extracting Unit Pixel Width Skeleton, 2020.
[24] Navjot Mann1 , Parminder Singh2, Medial Axis Transformation based Skeletonzation of Image Patterns using Image Processing Techniques, International Journal of Science and Research (IJSR), India Online ISSN: 2319‐7064, Volume 1 Issue 3, December 2012.
[2] A. Telea, Data visualization, 2nd ed. Boca Raton: CRC Press, Taylor & Francis Group, 2015.
[3] Koteswar Rao Jerripothula , Jianfei Cai , Jiangbo Lu, and Junsong Yuan Object Co-skeletonization with Co-segmentation,2017.
[4] MATÚŠ GRAMBLIČKA1 , JOZEF VASKÝ1, Assoc. Prof., Slovak, COMPARISON OF THINNING ALGORITHMS FOR VECTORIZATION OF ENGINEERING DRAWINGS, Journal of Theoretical and Applied Information Technology 31st December 2016. Vol.94. No.2.
[5]Basaeir Y.Ahmad, Zainab H.Majeed and Safa A.Najim , Applying the visualization technique to solve the human color blindness,2020.
[6]Zainab H Majeed1 , Basaeir Y Ahmed2 and Safa A Najim, Specifying the visualizing type of multi-dimensional data, et al 2019 J. Phys.: Conf. Ser. 1294 032033.
[7]Safa A. Najim, Information visualization by dimensionality reduction: a review,2014.
[8]Hind Abdel Amir Sebti 1 *, Safa A. Najim2 , Hadeel S. Al Ali 3, Visualization the Bioinformatics of COVID-19 to find Satisfactory Drug, Advances in Mechanics Volume 9, Issue 3, 2021 Page 1512-1525.
[9] Najim, S., Lim, I., Wittek, P. & Jones, M. (2014). FSPE: Visualization of Hyperspectral Imagery Using Faithful Stochastic Proximity Embedding. IEEE Geoscience and Remote Sensing Letters, 12(1), 18-22. http://dx.doi.org/10.1109/LGRS.2014.2324631
[10] Punam K. Saha , Senior Member, IEEE, Dakai Jin, Student Member, IEEE, Yinxiao Liu, Gary E. Christensen, Senior Member, IEEE, and Cheng Chen, Fuzzy Object Skeletonization: Theory, Algorithms, and Applications, IEEE Transaction on Visulaization and computer graphics, VOL. 24, NO. 8, AUGUST 2018.
[11] Prof. Gulshan Goyal1 and Ritika Luthra2, Skeleton Generation for Digital Images Based on Performance Evaluation Parameters, Vol.9, No.2 (2016), pp.47-58.
[12] Oleg Panichev Ciklum, Alona Voloshyna Ciklum, U-Net based convolutional neural network for skeleton extraction,2019.
[13] Debbie Honghee Ko*, Ammar Ul Hassan*, Saima Majeed* , and Jaeyoung Choi*,SkelGAN: A Font Image Skeletonization Method, J Inf Process Syst, Vol.17, No.1, pp.1~13, February 2021
[14] KHALID SAEED ∗, MAREK TAB ˛EDZKI ∗∗, MARIUSZ RYBNIK ∗∗∗, MARCIN ADAMSKI ∗, K3M: A UNIVERSAL ALGORITHM FOR IMAGE SKELETONIZATION AND A REVIEW OF THINNING TECHNIQUES, Int. J. Appl. Math. Comput. Sci., 2010, Vol. 20, No. 2, 317–335
[15] Ming Yin, Seinosuke Narita, Speedup Method for Real-Time Thinning Algorithm, DICTA2002: Digital Image Computing Techniques and Applications, 21--22 January 2002, Melbourne, Australia.
[16] Himanshu Jain, Archana Praveen Kumar, A Sequential Thinning Algorithm For MultiDimensional Binary Patterns, This article was submitted for review to the journal IEEE Transactions on Image Processing on 05/10/2017.
[17] Madhuri Yadav1 , Ravindra Kumar Purwar1 , Mamta Mittal2, Handwritten Hindi character recognition: a review, ISSN 1751-9659 Received on 22nd February 2017 Revised 22nd February 2018 Accepted on 12th June 2018 E-First on 5th July 2018 doi: 10.1049/iet-ipr.2017.0184 www.ietdl.org.
[18] Matúš Gramblička1, a, Jozef Vaský1, b, Thinning algorithms comparison for vectorization of engineering drawings, December 2016.
[19] Fathima Haseena1 , Roseline Clara, Performance Analysis of Iterative Thinning Methods using Zhang Suen and Stentiford Algorithm, International Conference on Advancements in Computing Technologies - ICACT 2018 ISSN: 2454-4248 Volume: 4 Issue: 2.
[20] Sanket B. Suthar1,1 , Rahul S. Goradia2 , Bijal N. Dalwadi3 , Sagar Patel1 , Sandip Patel1 ,Performance Scrutiny of Thinning Algorithms on Printed Gujarati Characters and handwritten Numerals, 15 February 2017.
[21] Bilal Bataineh, An Iterative Thinning Algorithm for Binary Images Based on Sequential and Parallel Approaches, January 2018.
[22] Liping Yang, Diane Oyen, Brendt Wohlberg, A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis,2019.
[23] N. Neelima et al 2020 IOP Conf. Ser.: Mater. Sci. Eng. 981 032005, Rank based Approach for Extracting Unit Pixel Width Skeleton, 2020.
[24] Navjot Mann1 , Parminder Singh2, Medial Axis Transformation based Skeletonzation of Image Patterns using Image Processing Techniques, International Journal of Science and Research (IJSR), India Online ISSN: 2319‐7064, Volume 1 Issue 3, December 2012.
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Published
2022-06-04
How to Cite
Zalaan, Z. H., & Najimb, S. A. (2022). A Comparative Study for Skeleton Representation Methods Using Data Visualization. Journal of Al-Qadisiyah for Computer Science and Mathematics, 14(2), Comp Page 22–32. https://doi.org/10.29304/jqcm.2022.14.2.933
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Section
Computer Articles
