Plant Leaf Recognition Using Competitive Based Learning Algorithm

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Imah, E.M.^1 ; Rahayu, Y.S.^2 ; Wintarti, A.^1

Mathematics Department, Universitas Negeri Surabaya, Surabaya, East-Java, Indonesia^1

Biology Department, Universitas Negeri Surabaya, Surabaya, East-Java, Indonesia^2

关键词: Features extraction;    Generalized relevance learning vector quantizations;    Intelligence systems;    Leaf characteristics;    Leaf images;    Plant identification;    Plant recognition;    Plant species;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012058/pdf
DOI  :  10.1088/1757-899X/288/1/012058

来源: IOP

【 摘 要 】

Plant recognition based on digital leaf image has received as particular attention in computer vision and intelligence system, due its important implication in automatic plant identification. Plant species have the unique leaf characteristics such as the shape, texture, margin, and colour, which different each other. This study presents a novel method for automation plant recognition using Generalized Relevance Learning Vector Quantization (GRLVQ). GRLVQ is a competitive based learning algorithm which is integrating features extraction and classification phases. The experimental result shows that GRLVQ has better performance than the predecessor algorithm.