文章基本信息

标题：A Survey on Leaf Identification through Leaf Features Using Image Processing
本地全文：下载
作者：Rahul Yadav ; Upasana Dugal
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：5
页码：4650-4654
DOI：10.15680/IJIRSET.2018.0705032
出版社：S&S Publications
摘要：Earth is a only living planet exist in the solar system, which consist of ecosystem. Plants plays a vital role in ecosystem, which helps living being (like, human, animal etc.) to survive on the earth. Leaf is the important part of the plant which helps in the survival of the plant itself. Plants provide food for living beings. Leaf identification and classification helps to recognize the species of plants as well as different types of diseases, Which helps plants to survive in the nature. Leaf shape and size is major feature to identify the species of plant. The huge amount of database is present about the leaves, still number of leaves are unaware by human beings. Identification and classification of leaves is done with several methodologies.
关键词：leaf recognition; leaf segmentation; leaf venation; leaf shape; leaf size; image processing; morphological features; canny edge detection;