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A New Shape Feature Extraction Method for Leaf Image Retrieval

  • B. Vijayalakshmi
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 221)

Abstract

In this paper we present an algorithm for extracting features for leaf identification. Contour-based shape feature extraction is one of the important research contents in content based image retrieval. We introduce the hybrid method which is a combination of threshold and Sobel segmentation algorithm and extract the feature. The experimental results show that the proposed method has better performance.

Keywords

Feature extraction Edge detection Threshold 

References

  1. 1.
    Cham KM, Hui J, Voorde PV, Fu HS (2007) Combined thresholding and neural network approach for vein pattern extraction from leaf images, December 2007, Signal processing and information technology, IEEE Int Symp, 978-1-4244-1835-0 Google Scholar
  2. 2.
    Al-amri SS, Kalyankar NV, Khamitkar SD (2010) Image segmentation by using threshold techniques, May 2010. J Comput, Vol 2(5), ISSN 2151-9617Google Scholar
  3. 3.
    Sezgin M, Sankur B (2004) Survey over image thresholding techniques and quantitative performance evaluation, January. J Electron Imaging, 13(1), 146–165Google Scholar
  4. 4.
    Chikkali MPS (2011) FPGA based image edge detection and segmentation. Int J Adv Eng Sci Technol 9(2):187–192Google Scholar
  5. 5.
    Al-amri SS, Kalyankar NV, Khamitkar SD (2010) Image segmentation by using edge detection. Int J Comput Sci Eng 02(03):804–807 ISSN: 0975-3397Google Scholar
  6. 6.
    Kekre HB, Gharge SM (2010) Image segmentation using extended edge operator for mammographic images. Int J Comput Sci Eng, 02(04) 1086–1091, ISSN: 0975-3397Google Scholar
  7. 7.
    Anami BS, Nandyal SS, Govardhan A (2010) A combined color, texture and edge features based approach for identification and classification of indian medicinal plants, September. Int J Comput Appl (0975–8887), 6(12)Google Scholar
  8. 8.
    Sleit A, Dalhoum ALA, Al-Dhamari I, Tareef A, An edge detection algorithm for online image analysis. Recent Adv Appl Math, ISBN: 978-960-474-150-2Google Scholar
  9. 9.
    Lurstwut B, Pornpanomchai C (2011) Plant seed image recognition system, December, IACSIT Int J Eng Technol, 3(6)Google Scholar
  10. 10.
    Lurstwnt B, Pornpanomchai C (2011) Plant seed image recognition system, December. Int J Eng Technol, 3(6)Google Scholar
  11. 11.
    Valliammal N, Geethalakshmi SN (2011) Automatic recognition system using preferential image segmentation for leaf and flower images, October. Comput Sci Eng Int J, 1(4)Google Scholar
  12. 12.
    Gonzalez RC, Woods RE (2002) Digital image processing, 2nd edn. Prentice Hall, NJGoogle Scholar
  13. 13.
    Liew AWC, Hong Y (2006) Current methods in the automatic tissue segmentation of 3D magnetic resonance brain images, Curr Med Imaging Rev, 2, 000-000, 1573-4056/06Google Scholar
  14. 14.
    Singh KK, Singh A (2010) A study of image segmentation algorithms for different types of images, September. IJCSI Int J Comput Sci Issues, 7(5), ISSN (Online): 1694-0784Google Scholar
  15. 15.
    Jayaraman S, Esakkirajan S, Veerakumar T, Digital image processing, Mc Graw Hill, NY Google Scholar
  16. 16.
    Matthews J (2002) An introduction to edge detection: The sobel edge detector, Available at http://www.generation5.org/content/2002/im01.asp
  17. 17.
    Liu P (2004) A survey on threshold selection of image segmentation. J Image Graphics, pp 86–92Google Scholar
  18. 18.

Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Assistant Professor, Department of MCAK. L. N. College of EngineeringSivagangai DistrictIndia

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