State of the art in image processing & big data analytics: issues and challenges

  • Authors

    • S Vahini Ezhilraman
    • Sujatha Srinivasan
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.13885
  • Image Processing, Bigdata Analytics, Data Mining, Feature Extraction.

  • Abstract

    Image processing, in the contemporary domain, is now emerging as a novel and an innovative space in computing research and applications. Today, the discipline of “computer science†may be termed as “image scienceâ€, why because in every aspect of computer application, either science or humanities or management, image processing plays a vital role in varied ways. It is broadly now used in all the industries, organizations, administrative divisions; various social organizations, economic/business institutions, healthcare, defense and so on. Image processing takes images as input and image processing techniques are used to process the images and the output is modified images, video, or collection of text, or features of the images. The resultant output by most image processing techniques creates a huge amount of data which is categorized as Big-data. In this technique, bulky information is processed and stored as either structured or unstructured data as a result of processing images through computing techniques. In turn, Big Data analytics for mining knowledge from data created through image processing techniques has a huge potential in sectors like education, government organizations, healthcare institutions, manufacturing units, finance and banking, centers of retail business. This paper focuses on highlighting the recent innovations made in the field of image processing and Big Data analytics. The integration and interaction of the two broad fields of image processing and Big Data have great potential in various areas. Research challenges identified in the integration and interaction of these two broad fields are discussed and some possible research directions are suggested.

     

  • References

    1. [1] Y. Wang, J. Zheng, H. Zhou, L. Shen, “Medical Image Processing by Denoising and Contour Extraction,†International Conference on IEEE, 2008.

      [2] Y. Du, A. Song, L. Zhu, W. Zhang, “A Mixed-Type Registration Approach in Medical Image Processing,†In: International Conference on Biomedical Engineering and Informatics, E, pp 1–4, 2009.

      [3] K. Elakkia and P. Narendran, “Survey of Medical Image Segmentation Using Removal of Gaussian Noise in Medical Image,†vol. 6, no. 6, pp.7593–7595, 2016.

      [4] G. Yao, “A Survey on Pre-Processing in Image Matting,†vol. 32, no. 15, pp. 122–138, 2017.

      [5] H. A. N. Hu, Y. Wen, S. Member, and T. Chua, “Toward Scalable Systems for Big Data Analytics : A Technology Tutorial,†vol. 2, 2014.

      [6] D. P. Acharjya, “A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools,†vol. 7, no. 2, 2016.

      [7] T. Hong, C.Chen, J. Huang, N. Lu, L. Xie, H. Zareipour, “Big Data Analytics for Grid Modernizationâ€, IEEE Trans Smart Grid vol.7, pp. 2395–2396, doi: 10.1109/TSG.2016.2593358, 2016.

      [8] K. Himmi, J. Arcondara, P. Guan, and W. Zhou, “Value Oriented Big Data Strategy: Analysis & Case Study,†pp. 1053–1062, 2017.

      [9] R. Sudhir, “A Survey on Image Mining Techniques: Theory and Applications,†vol. 2, no. 6, pp. 44–53, 2011.

      [10] B. Krishna Mohan and A. Porwal, “Hyperspectral image processing and analysis,†Curr. Sci., vol. 108, no. 5, pp. 833–841, 2015.

      [11] M. Kannvdiya, K. Patidar, R.S. Kushwaha, “A Survey on: Different Techniques and Features of Data Classification,†Int J Res Comput Appl Robot vol.4, pp.1–6, 2016.

      [12] D. Goutam, S. Gupta, S. Deepti, “Big Data Analytics: Image Enhancement Based Approach,†Int J Adv Res Comput Sci Softw Eng vol. 5, pp. 570–573, 2016.

      [13] A. Anbarasa Pandian and R. Balasubramanian, “Performance analysis of texture image retrieval in curvelet, contourlet, and local ternary pattern using DNN and ELM classifiers for MRI brain tumor images,†Adv. Intell. Syst. Comput., vol. 459 AISC, no. July, pp. 239–248, 2017.

      [14] B. P. K. Archana, A. D. Bruno, and I. D. M. Gopala, “A Novel Approach Towards Road Safety Based On Investigational Survey Using Image Processing And User Interface System,†pp. 105–108, 2017.

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  • How to Cite

    Vahini Ezhilraman, S., & Srinivasan, S. (2018). State of the art in image processing & big data analytics: issues and challenges. International Journal of Engineering & Technology, 7(2.33), 195-199. https://doi.org/10.14419/ijet.v7i2.33.13885

    Received date: 2018-06-08

    Accepted date: 2018-06-08

    Published date: 2018-06-08