Shape based Object Retrieval Technique for Vehicular Spare Parts

  • Authors

    • Ravi Hosur
    • Dr. Dayanand G Savakar
    • Shilpa Madabhavi
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.20106
  • Shape, objects, Vehicular parts, retrieval, automobile, edge.

  • Abstract

    Shape based object retrieval technique is an application used for the automatic retrieval of vehicular spare parts based on the input image, this application can be useful in the automobile industry/shop for the retrieval of specific object from the group of objects. For the retrieval process first the database has been designed to store different shapes of nuts that are hexagon and square. With the application of median filter and wiener filters in the preprocessing step, the canny edge-detector for identifying the edges and to ascertain shape of the input and database images the convex hull approach is applied. This system is successful in retrieving the shape of the images which already exist in the database and the method results with the accuracy of 82.1875%

     

     

  • References

    1. [1] Dengsheng Zhang and Guojun Lu, “Shape based image retrieval using Generic Fourier Descriptorâ€, Journal of signal processing: image communication, Vol.17, No. 10, 2002, pp.825-848

      [2] Dengsheng Zhang and Guojun Lu, “A Comparative Study of Curvature Scale Shape and Fourier Descriptors for Shape-based Image Retrievalâ€, Journal of Visual Communication and Image Representation, Vol.14, No.1, 2003, pp.39-57

      [3] Ying Liu, Dengsheng Zhang, Guojun Lu and Wie- Ying Ma, “A Survey of Content-based image Retrieval with High-level Semanticsâ€, Journal of Pattern Recognition, Vol.40, No.1, 2007, pp.262-282

      [4] Krishnan N, Justin Varghese, S. Saudia, Santosh.P.Mathew et al, “A New Adaptive Class of Filter Operators for salt and pepper Impulse Corrupted Imagesâ€, International Journal of Imaging Science and engineering(IJISE), Vol.1,No.2, 2007, pp.44-51

      [5] Shao-Hu Peng, Deok-Hwan Kim, Seok-Lyong Lee and Chin-Wan Chumg, “A Visual Shape Descriptor Using Sectors and shape Context of Contour Linesâ€, Journal of Information Sciences, Vol.180,No.16,2010, pp.2925-2939

      [6] Xiang-Yang Wang, Yong-Jian Yu, and Homg-Ying Yang, “an Effective Image Retrieval Scheme using Color, Texture and shape Featuresâ€, Journal of Computer standards and Interfaces, Vol.33, 2010, pp.59-68

      [7] Srinivasa Rao, S. Srinivas Kumar and B. Chandra Mohan, “ Content-based Image Retrieval Using Exact Legendre Moments And Support Vector Machineâ€, The International Journal of Multimedia and Its Applications, Vol.2, No.2, 2010, pp.69-79

      [8] Santhosh P. Mathew, Valentina E. Balas, Zachariah K. P, Philip Samuel, “A Content-based Image Retrieval System Based on Polar Raster Edge Sampling Signatureâ€, Acta Polytechnica Hungaria, Journal of Applied Sciences,Vol.11,No.3, 2014, pp.25-36

      [9] Loris Nanni, Alessandra Lumini, Sheryl Brahnam, “Ensemble of Shape Descriptors for Shape Retrieval and Classificationâ€, International Journal of Advanced Intelligence Paradigms (IJAIP), Vol.6, No.2, 2014, pp.136-156

  • Downloads

  • How to Cite

    Hosur, R., Dayanand G Savakar, D., & Madabhavi, S. (2018). Shape based Object Retrieval Technique for Vehicular Spare Parts. International Journal of Engineering & Technology, 7(4.5), 355-359. https://doi.org/10.14419/ijet.v7i4.5.20106

    Received date: 2018-09-23

    Accepted date: 2018-09-23

    Published date: 2018-09-22