Digital Image-based Method of Leaf Color and Area Feature Recognition


Yujue Wang1, Yuna Jia1,2, Yang Bai1,*, Qianshuo Wei1, Man Zhang1

1North China University of Science and Technology, Tangshan, Hebei, China. 

2Collaborative Innovation Center of Green Development and Ecological Restoration of Mineral Resources, Tangshan, Hebei, China.

*Corresponding author: Yang Bai

Published: May 15,2024


In order to achieve fast and accurate acquisition of area and color feature parameters of plant leaves, a simple and easy-to-operate digital image resolution system is designed based on the Matlab Graphical User Interface (GUI) platform. This system enhances the accuracy of leaf area calculation through processing of grayscale changes, image segmentation, morphological analysis, median filtering, etc. Through the design of six edge detection operators, the system can meet the recognition requirements of different types of leaves. The color recognition module extracts color parameters of leaves using the Red Green Blue (RGB) color model, Hue Saturation Value (HSV) color model, and Lab color model. It then generates histograms for each color component. The results show that this method for extracting leaf characteristics is convenient, accurate, non-destructive, and can be applied to common leaf growth states.


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How to cite this paper

Digital Image-based Method of Leaf Color and Area Feature Recognition

How to cite this paper: Yujue Wang, Yuna Jia, Yang Bai, Qianshuo Wei, Man Zhang. (2024) Digital Image-based Method of Leaf Color and Area Feature Recognition. Advances in Computer and Communication5(2), 122-127.