A multivariate Gaussian modeling for counting bananas

  • Authors

    • Senthilarasi M
    • Navarasy T M
    • Ram Kumar C
    • Mohamed Mansoor Roomi
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.22.11803
  • Gaussian modeling, HSV color space, Maximum likelihood detection, Multivariational approach
  • Agriculture industries play an important role in economic development. Many post harvest techniques are performed in these industries. Especially in fruit industries, grading is an important process. As per the grading standard, banana hands must have minimum of twelve banana fingers. In the current scenario, the banana fingers are counted manually which is laborious. In order to reduce manual work, this paper proposes an algorithm for performing an automatic counting system of banana fingers in a bunch/hand using image processing algorithms. The parameters of the Gaussian model is acquired from the samples of fruit distal ends. A multivariate Gaussian modeling is accomplished on HSV color model to detect the distal end of banana fingers using maximum likelihood detection.

     

  • References

    1. [1] Maithilee Nagesh Kulkarni, Dr. (Mrs.) R. P. Mudhalwadkar,†Data driven modeling for banana ripeness Assessmentâ€, International Conference on Intelligent Computing and Control Systems,2017.

      [2] Amit Verma, Rajendra Hegadi, Kamini Sahu,†Development of an Effective System for Remote Monitoring of Banana Ripening Processâ€,IEEE International WIE Conference on Electrical and Computer Engineering(WIECON-ECE),2015.

      [3] M.Senthilarasi, S.Md.Mansoor Roomi and M.R.H.Prasanna,†Shape based approach for Detecting Musa Species in Fruit Industryâ€, Sixth International Conference on Advanced Computing(lCoAC),2014.

      [4] Nbadariah, NAShikin, syedkhaleel, AidilAzwin, Zaipatimah, Zainul,†Image Processing of an Agriculture Produce: Determination of Size and Ripeness of a Bananaâ€, IEEE,2008.

      [5] Anisha Syal, Divya Garg, Shanu Sharma,†Apple Fruit Detection and Counting Using Computer Vision Techniquesâ€, IEEE International Conference on Computational Intelligence and Computing Research,2014

      [6] Chi Cuong Tran, Dinh Tu Nguyen, Hoang Dang Le, Quoc Bao Truong, Quoc Dinh Truong,†Automatic dragon fruit counting using adaptive thresholds for image segmentation and shape analysisâ€, 4th NAFOSTED Conference on Information and Computer Science,2017.

      [7] Chuong B. Do,†The Multivariate Gaussian Distributionâ€, October 10, 2008.

      [8] Veena Hallur, BhagyashreeAtharga, Amruta Hosur, Bhagyashree Binjawadagi, K. Bhat,†Design and development of a portable instrument for the detection of artificial ripening of banana fruit, Proceedings of International Conference on Circuits, Communication, Control and Computing (I4C 2014). [9]Monika Jhuria, Ashwani Kumar, Rushikesh Borse,†Image Processing for Smart Farming:Detection of Disease and Fruit Gradingâ€,IEEE Second international Conference on Image Information Processingâ€(ICIIP),2013.
  • Downloads

  • How to Cite

    M, S., T M, N., Kumar C, R., & Mansoor Roomi, M. (2018). A multivariate Gaussian modeling for counting bananas. International Journal of Engineering & Technology, 7(2.22), 27-30. https://doi.org/10.14419/ijet.v7i2.22.11803