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Plant Leaf Recognition using Gabor Filter
2012
International Journal of Computer Applications
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This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images of three plant types are analyzed using Gabor Filter by varying the filter parameters. ...
Leaf images are convolved with Gabor filters followed by a separation of the real and imaginary portions of the signal. ...
In contrast to contour-based methods, region based shape recognition techniques have been used in [10] for leaf image classification. ...
doi:10.5120/8927-3000
fatcat:4nknwsimkrgyta45u34jxcg7qi
Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry
2022
Journal of Chemometrics
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Each dataset contained images with three different scales: whole plant, leaf, and venation. ...
The three datasets provided classification accuracies above 97% in the test set, being the leaf dataset, with a 98.8% accuracy, the one providing the best results. ...
Plant-scale images provide a global image compared to leaf-scale images. ...
doi:10.1002/cem.3388
fatcat:6crppvpld5a7bcly7l36dyrv7m
Pattern recognition tool based on complex network-based approach
2013
Journal of Physics, Conference Series
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To evaluate the pattern description power of the proposal, an experiment of plat identification based on leaf veins image are conducted. ...
This work proposed a generalization of the method proposed by the authors: 'A complex network-based approach for boundary shape analysis'. ...
These properties are then used to build a mathematical model based on fractals to model the leaf venation. ...
doi:10.1088/1742-6596/410/1/012048
fatcat:ioiw7spo7ra53hj5evznqhdtda
Venation Skeleton-Based Modeling Plant Leaf Wilting
2009
International Journal of Computer Games Technology
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Firstly, a three-dimensional leaf skeleton is constructed from a leaf image, and the leaf skeleton is further used to generate a detailed mesh for the leaf surface. ...
Then a venation skeleton is generated interactively from the leaf skeleton. Each vein in the venation skeleton consists of a segmented vertices string. ...
Hickey [1] has given a classification for the leaf venation patterns, in which pinnate venation and actinodromous venation are two common found categories (see Figure 1 ). ...
doi:10.1155/2009/890917
fatcat:fbxcdia66vhf3p7aql6pqeefym
Plant Leaf Recognition using Shape based Features and Neural Network classifiers
2011
International Journal of Advanced Computer Science and Applications
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This paper proposes an automated system for recognizing plant species based on leaf images. ...
Plant leaf images corresponding to three plant types, are analyzed using two different shape modeling techniques, the first based on the Moments-Invariant (M-I) model and the second on the Centroid-Radii ...
In [12] the authors propose a leaf image retrieval scheme based on leaf venation for leaf categorization. ...
doi:10.14569/ijacsa.2011.021007
fatcat:s7llso2nkjczvewv5sxfdmw2cq
Automated Plant Species Identification: Challenges and Opportunities
[chapter]
2016
IFIP Advances in Information and Communication Technology
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This paper presents a survey of recent efforts to use computer vision and machine learning techniques to identify organisms. It focuses on the use of leaf images to identify plant species. ...
This staggering diversity and the need to better understand it led inevitably to the development of classification schemes called biological taxonomies. ...
This vast inter-specific biodiversity and the need to better understand it led to the development of classification schemes called biological taxonomies. ...
doi:10.1007/978-3-319-44447-5_3
fatcat:hre4kxpu5be7hlma7f6ijmmkui
Procedural techniques for simulating the growth of plant leaves and adapting venation patterns
2015
Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology - VRST '15
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This paper presents biologically-motivated a procedural method for the simulation of leaf contour growth and venation development. ...
We use a mathematical model for simulating the growth of a plant leaf. Leaf tissue is regarded as a viscous, incompressible fluid whose 2D expansion is determined by a spatially varying growth rate. ...
Image-based modeling: a first paper for modeling leaves uses image-based modeling. Such methods reproduce a real shape of a leaf provided by the user. Quan et al. ...
doi:10.1145/2821592.2821609
dblp:conf/vrst/AlsweisD15
fatcat:lf45hnpabzh4ldf5uyizcufboy
Observation on Therapeutic Plant Identification based on Deep Learning Technique
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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This paper is reviewing the different leaf classification methodologies based on deep learning algorithms. ...
In order to have an efficient herb species classification, there must be a complete model which should be automatic and convenient recognition system. ...
[13] proposed automatic legumes classification with images of the vein of the leaf. A process for segmentation and classification of real-time images are based solely on their vein analysis. ...
doi:10.35940/ijitee.j9808.0981119
fatcat:7g3qtfuws5hkzdbwwqmqcwz6fu
Advanced shape context for plant species identification using leaf image retrieval
2012
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval - ICMR '12
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This paper presents a novel method for leaf species identification combining local and shape-based features. Our approach extends the shape context model in two ways. ...
Thus, generally, only shape and texture information are taken into account in similarity based leaf image retrieval schemes. ...
We suppose in this paper that a leaf image consists in a leaf picture with a nearly white uniform background. A leaf is not only characterized by its margin: its venation network may be significant. ...
doi:10.1145/2324796.2324853
dblp:conf/mir/MouineYV12
fatcat:e4icbj4zjnc5llxdbkkcz62u6a
PLANT SPECIES CLASSIFCATION USING BOF
2019
International Journal of Engineering Applied Sciences and Technology
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species there are 30 images, so a total of 16 X 30, 480 images are in total. ...
The leaf images are given as input and they undergoes different filtering techniques and segmentation, after that the image is fed into Bag of Features for feature extraction and classification. ...
A conventional approach of using morphological feature extraction to segment the leaf venation by using Sobel edge detection method was explored and analyzed.
a. ...
doi:10.33564/ijeast.2019.v04i05.049
fatcat:yz7rekzyejfc3ant23tznapowu
Multiple leaflets-based identification approach for compound leaf species
2014
International Conference on Multimedia Retrieval
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Compound leaves can be seen as a collection of simple leaf-like structures called leaflets. However, most computer vision-based approaches describe these two leaf categories similarly. ...
Thus, a local description based on a certain number of leaflets may provide greater accuracy. ...
Figure 12 : 12 Figure 12: The 6−top images obtained by the classical retrieval scheme based on the entire image (top) and our three-leaflets based scheme (bottom), using the leoh descriptor and the IRP ...
dblp:conf/mir/MzoughiYBZ14
fatcat:f6h37o53svhddltcuzkls4a6nu
Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
2017
Archives of Computational Methods in Engineering
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Park JK, Hwang E, Nam Y (2006) A venation-based leaf 123. Rudall PJ (2007) Anatomy of flowering plants: an introduc-
image classification scheme. ...
Yang LW, Wang XF (2012) Leaf image recognition using fou-
tization scheme for robust leaf classification. In: 2011 Third rier transform based on ordered sequence. ...
doi:10.1007/s11831-016-9206-z
pmid:29962832
pmcid:PMC6003396
fatcat:5ycfhaotrrejjncce4mgizf4iq
Improved non-destructive 2D and 3D X-ray imaging of leaf venation
2018
Plant Methods
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Leaf venation traits are important for many research fields such as systematics and evolutionary biology, plant physiology, climate change, and paleoecology. ...
Based on a test dataset, in 91% of the samples the 7 µm approach led to a significant improvement in estimations of minor vein density compared to the industrial standard. ...
Acknowledgements We are grateful to the directors of the herbaria FR, GLM, L, U, and WAG for the permission to use leaf samples from their collections, and Rainer Döring, Anna Frenkel, Robin Kunz, Patricia ...
doi:10.1186/s13007-018-0274-y
pmid:29375648
pmcid:PMC5774031
fatcat:tazaxq2bajf45idudajpsctwx4
phenoVein - A tool for leaf vein segmentation and analysis
2015
Plant Physiology
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For the determination of vein widths, a model-based vein edge estimation approach has been implemented. ...
Here, we present a powerful and user-friendly image analysis tool named phenoVein. ...
D, By processing the leaf image (C) with a vesselness filter, leaf veins were enhanced. E, A threshold-based binary vein mask of the filtered image (D). ...
doi:10.1104/pp.15.00974
pmid:26468519
pmcid:PMC4677892
fatcat:ngazczjhdfh2dipnnjoakrfx4q
A Review on Plant Leaf Classification and Segmentation
2016
International Journal Of Engineering And Computer Science
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The biometric features of plants leaf like venation make this classification easy. ...
The obtained results are very interesting and show the importance of each feature. the classification of plant leaf images with biometric features. ...
Design and implementation of image-based plant classification system is a long felt. ...
doi:10.18535/ijecs/v5i8.41
fatcat:yepq2nopjbfj7lxl2xec5skczu
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