Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (19): 228-234.DOI: 10.3778/j.issn.1002-8331.2006-0304

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Study of Plant Leaf Image Recognition Based on Improved Local Binary Pattern Algorithm

LI Longlong, HE Dongjian, WANG Meili   

  1. 1.College of Information Engineering, Shaanxi Polytechnic Institute, Xianyang, Shaanxi 712000, China
    2.College of Mechanical & Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
    3.College of Information Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
  • Online:2021-10-01 Published:2021-09-29



  1. 1.陕西工业职业技术学院 信息工程学院,陕西 咸阳 712000
    2.西北农林科技大学 机械与电子工程学院,陕西 杨凌 712100
    3.西北农林科技大学 信息工程学院,陕西 杨凌 712100


In order to solve the problem of the classic Local Binary Pattern(LBP) algorithm that only the features of neighborhood pixels of the extracted texture features are considered and the key local and global features are ignored during the texture feature extraction process, an improved local binary pattern algorithm named WCM-LBP is proposed, which is combined with WCM-LBP and WOM-LBP, to extract the features from plant leaf images. It extracts the regional key geometry features and texture features of the leaf images to modify the LBP image descriptor, and uses weighted local mean value and weighted global mean value of the pixels instead of traditional center pixel, and finally extracts the color components of R, G, B channel and the common gray value for image analysis. Combined with the algorithm Semi-supervised Fuzzy clustering with Feature Discrimination(SFFD), this algorithm is applied to the experimental data such as classic Flavia, Swedish, Foliage datasets and self-test photo collections. The experimental results show that the algorithm has strong robustness, can effectively find out the key identification features of plant leaf images under machine vision, and effectively solve the problem of describing the key features in the classification and recognition of leaf images.

Key words: image recognition, global mean value, feature extraction, color component, plant leaf



关键词: 图像识别, 全局均值, 特征提取, 颜色分量, 植物叶片