Survey of feature extraction and classification techniques to identify plant through leaves
This paper provides a comprehensive survey of various techniques used in computer vision
for the automatic identification of plants with the help of leaf images. The extracted …
for the automatic identification of plants with the help of leaf images. The extracted …
Plant leaf identification based on shape and convolutional features
H Wu, L Fang, Q Yu, J Yuan, C Yang - Expert Systems with Applications, 2023 - Elsevier
Plant leaf identification is an important and challenging issue in botany and image analysis.
This is because leaves of the same class exhibit very large differences, and leaves of …
This is because leaves of the same class exhibit very large differences, and leaves of …
Symmetric binary tree based co-occurrence texture pattern mining for fine-grained plant leaf image retrieval
Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
Fusing deep learning features of triplet leaf image patterns to boost soybean cultivar identification
Soybean cultivar recognition plays a vital role in cultivar evaluation, selection and
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …
Patchy image structure classification using multi-orientation region transform
Exterior contour and interior structure are both vital features for classifying objects. However,
most of the existing methods consider exterior contour feature and internal structure feature …
most of the existing methods consider exterior contour feature and internal structure feature …
MFCIS: an automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology
Y Zhang, J Peng, X Yuan, L Zhang, D Zhu… - Horticulture …, 2021 - academic.oup.com
Recognizing plant cultivars reliably and efficiently can benefit plant breeders in terms of
property rights protection and innovation of germplasm resources. Although leaf image …
property rights protection and innovation of germplasm resources. Although leaf image …
Leaf image recognition based on bag of features
Y Zhang, J Cui, Z Wang, J Kang, Y Min - Applied Sciences, 2020 - mdpi.com
Plants are ubiquitous in human life. Recognizing an unknown plant by its leaf image quickly
is a very interesting and challenging research. With the development of image processing …
is a very interesting and challenging research. With the development of image processing …
Plant species identification from occluded leaf images
A Chaudhury, JL Barron - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
We present an approach to identify the plant species from the contour information from
occluded leaf image using a database of full plant leaves. Although contour based 2D shape …
occluded leaf image using a database of full plant leaves. Although contour based 2D shape …
Fan-beam binarization difference projection (FB-BDP): A novel local object descriptor for fine-grained leaf image retrieval
Fine-grained leaf image retrieval (FGLIR) aims to search similar leaf images in subspecies
level which involves very high interclass visual similarity and accordingly poses great …
level which involves very high interclass visual similarity and accordingly poses great …
From species to cultivar: Soybean cultivar recognition using joint leaf image patterns by multiscale sliding chord matching
Highlights•The first reported research on cultivar recognition using joint leaf image
patterns.•A novel multiscale sliding chord matching (MSCM) approach is proposed.•It can …
patterns.•A novel multiscale sliding chord matching (MSCM) approach is proposed.•It can …