A novel approach for cDNA image segmentation using SLIC based SOM methodology

  • Authors

    • Durga Prasad Kondisetty
    • Mohammed Ali Hussain
    2018-03-19
    https://doi.org/10.14419/ijet.v7i2.8.10323
  • Simple Linear Iterative Clustering, Segmentation, Gridding.

  • Abstract

    In the segmentation of computer vision images, Super pixels are act as key role from last decade. There are multiple algorithms and techniques to analyze the Super pixels but amount all of them the best super pixel analyzing method is Simple Linear Iterative Clustering (SLIC) have come to pivot increasingly in recent years. The studying of micro array gene expression from MRI imaging is more useful to detect tumors or any other cancer diseases, so that the complementary DNA (cDNA) microarray is a well established tool for studying the same. The segmentation of microarray images is the main step in a microarray analysis. In this paper, we proposed an algorithm to segmenting the cDNA micro array image using Simple Linear Iterative Clustering (SLIC) based Self Organizing Maps (SOM) methodology. However, the proposed algorithm is taken up a challenging task to study the poor quality of images also. There are two steps to analyze the image, first, a pre-processing the applied image to reduce noise levels and second, to segment the image using SLIC based SOM methodology.

  • References

    1. [1] Durga Prasad Kondisetty, Dr. Mohammed Ali Hussain, “A Robust Method for Reducing Image Noise in Microarray Images†International Journal of Pure and Applied Mathematics, Volume 117 No. 19 2017, 441-447.

      [2] Durga Prasad Kondisetty, Dr. Mohammed Ali Hussain, “Gene Microarray Analysis using Self Organizing Maps†International Journal of Pure and Applied Mathematics, Volume 117 No. 19 2017, 441-447.

      [3] Durga Prasad Kondisetty, Dr. Mohammed Ali Hussain, “A Review on Microarray Image Segmentation Methodsâ€. International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 12, December 2016.

      [4] XudongJin and Yanfeng Gu, “Superpixel-Based Intrinsic Image Decomposition of Hyperspectral Images†IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 8, August 2017.https://doi.org/10.1109/TGRS.2017.2690445.

      [5] Guifang Shao, Tingna Wang, Wupeng Hong, Zhigang Chen, “An Improved SVM Method for eDNA Mieroarray Image Segmentationâ€. The 8th International Conference on Computer Science & Education (ICCSE 2013) April 26-28, 2013. Colombo, Sri Lanka.

      [6] Natarajan P, Sushmitha G, “Brain Tumor Detection in MRI Brain Images using Threshold Operation†International Journal of Pharmacy & Technology, ISSN: 0975-766X,August-2016.

      [7] Stamos Katsigiannis, Eleni Zacharia, Dimitris Maroulis, “Grow-Cut Based Automatic cDNA Microarray Image Segmentation†IEEE Transactions on Nanobioscience, vol. 14, no. 1, January 2015.https://doi.org/10.1109/TNB.2014.2369961.

      [8] Rajendra Nagar, Shanmuganathan Raman, “SymmSLIC Symmetry Aware Superpixel Segmentation†The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 1764-1773.https://doi.org/10.1109/ICCVW.2017.208.

      [9] S. Shirakawa, T. Nagao. “Evolutionary image segmentation based on multi objective clusteringâ€. In Proceedings of IEEE Congress on Evolutionary Computation, IEEE, Trondheim, Norway pp. 2466–2473, 2009.

      [10] Rezaul Karim, Md. Khaliluzzaman, Sohel Mahmud, “A Review of Image Analysis Techniques for Gene Spot Identification in cDNA Microarray Images†Next Generation Information Technology (ICNIT), 2011 The 2nd International Conference.

      [11] Maziidah Mukhtar Ahmad,AsralBahariJambek,MohdYusoff bin Mashor, “A Study on Microarray Image Gridding Techniques for DNA Analysis†2nd International conference on electric design (ICED) August 19-21 2014, Malaysia.

      [12] Revathi T, Sathish A, Sumathi P, “Microarray Analysis using Fuzzy C-Means Clustering Algorithmâ€. International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering Vol. 2, Issue 1, Jan 2014.

      [13] David Moena Q, “Microarray Image Gridding by using Self-Organizing†IEEE transactions 978-1-4244-5089- 2011.

      [14] R. M. Farouk, M. A. SayedElahl, “Robust cDNA microarray image segmentation and analysis technique based on Hough circle transform†International Journal of Pure and Applied Mathematics, Volume 117 No. 19 2017, 441-447.

      [15] Xing Wei, Qingxiong Yang, “Superpixel Hierarchyâ€, IEEE transactions 1605-06325-v1 May 2016.

      [16] Bao Zhou, “Image Segmentation using SLIC Superpixels and Affinity Propagation Clustering†International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 2013.

      [17] Wei Wang, Deliang Xiang, Yifang Ban, “Superpixel Segmentation of Polarimetric SAR Images Based on Integrated Distance Measure and Entropy Rate Methodâ€, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1939-1404 2017.https://doi.org/10.1109/JSTARS.2017.2708418.

      [18] Zhengqin Li, Jiansheng Chen, “Superpixel Segmentation using Linear Spectral Clusteringâ€. The IEEE International Conference on Computer Vision (ICCV), 2015, pp. 1764-1773.

      [19] Binh P. Nguyen, Hans Heemskerk, Peter T. C. So, Lisa Tucker-Kellogg, “Superpixel-based segmentation of muscle fibers in multi-channel microscopy†Nguyen et al. BMC Systems Biology 2016, 10(Suppl 5):124 12918-016-0372-2

      [20] Lakshmi Srinivasan, YothinRakvongthai, and SoontornOraintara, “Microarray Image Denoising Using Complex Gaussian Scale Mixtures of Complex Waveletsâ€, IEEE Journal of Biomedical and Health Informatics, vol. 18, No. 4, July 2014.https://doi.org/10.1109/JBHI.2014.2318279.

      [21] Stamos Katsigiannis, Dimitris Maroulis, “Parallel Computing Techniques for Performance Enhancement of a cDNA_2013_IEEEâ€, IEEE Transactions, 978-1-4799-4796-2013.

      [22] Dr.Seetaiah Kilaru, Hari Kishore K, Sravani T, Anvesh Chowdary L, Balaji T “Review and Analysis of Promising Technologies with Respect to fifth Generation Networksâ€, 2014 First International Conference on Networks & Soft Computing, ISSN:978-1-4799-3486-7/14,pp.270-273,August2014

      [23] T.RajeshKumar&G.R.Suresh, “Examination of Militants utilizing NAM Microphone and Wireless Handset for Murmured Speech in view of Concealed Markov Modelâ€. International Innovative Research Journal of Engineering and Technology. 112-119.

      [24] S.V.Manikanthan and T.Padmapriya “Recent Trends In M2m Communications in 4g Networks and Evolution towards 5gâ€, International Journal of Pure and Applied Mathematics, ISSN NO: 1314-3395, Vol-115, Issue -8, Sep 2017.

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  • How to Cite

    Prasad Kondisetty, D., & Ali Hussain, M. (2018). A novel approach for cDNA image segmentation using SLIC based SOM methodology. International Journal of Engineering & Technology, 7(2.8), 52-55. https://doi.org/10.14419/ijet.v7i2.8.10323

    Received date: 2018-03-19

    Accepted date: 2018-03-19

    Published date: 2018-03-19