Open AccessA multivariate Gaussian modeling for counting bananas
Author(s) -
M. Senthilarasi,
T M Navarasy,
Ram Kumar C,
Mohamed Mansoor Roomi
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.22.11803
Subject(s) - multivariate statistics , grading (engineering) , gaussian , computer science , gaussian process , gaussian network model , artificial intelligence , mathematics , machine learning , engineering , civil engineering , physics , quantum mechanics
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.