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Design and implementation of an algorithm for plants identification and classification based on physical characteristics of their leaves using computer vision


Article Information

Title: Design and implementation of an algorithm for plants identification and classification based on physical characteristics of their leaves using computer vision

Authors: Jose Salgado Patron, Diego Sendoya-Losada, Faiber Robayo-Betancourt

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 5

Language: English

Categories

Abstract

In this paper, it’s described an algorithm for plants identification based on leaves physical features using image processing techniques and the feed forward neural network specialized on patterns recognition. As fundamental step, the sobel operator is used to highlight the leaves boundaries and veins. After obtaining those features, the new image is transfer to the frequency space through the wavelet transform as basis for the main vector of every sample. Finally, the results are evaluated according to percentage of samples correctly identified. The algorithm is adapted to a visual interface that allows the user to observe the steps of the image processing and get the leaf information.


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