Miao, Z.J.[Zhen-Jiang],
Zernike moment-based image shape analysis and its application,
PRL(21), No. 2, February 2000, pp. 169-177.
0003
BibRef
Miao, Z.J.[Zhen-Jiang],
Gandelin, M.H.,
Yuan, B.Z.[Bao-Zong],
A new image shape analysis approach and its application to flower shape
analysis,
IVC(24), No. 10, 1 October 2006, pp. 1115-1122.
Elsevier DOI
0609
Artificial intelligence; Shape analysis
BibRef
Nilsback, M.E.[Maria-Elena],
Zisserman, A.[Andrew],
Delving deeper into the whorl of flower segmentation,
IVC(28), No. 6, June 2010, pp. 1049-1062.
Elsevier DOI
1003
BibRef
Earlier:
Delving into the whorl of flower segmentation,
BMVC07(xx-yy).
PDF File.
HTML Version.
0709
BibRef
Earlier:
A Visual Vocabulary for Flower Classification,
CVPR06(II: 1447-1454).
IEEE DOI
HTML Version.
0606
Image segmentation; Spatial model
BibRef
Nilsback, M.E.[Maria-Elena],
Zisserman, A.[Andrew],
Automated Flower Classification over a Large Number of Classes,
ICCVGIP08(722-729).
IEEE DOI
HTML Version.
Dataset, Flowers.
HTML Version.
0812
BibRef
Zagrouba, E.[Ezzeddine],
Ben Gamra, S.[Siwar],
Najjar, A.[Asma],
Model-based graph-cut method for automatic flower segmentation with
spatial constraints,
IVC(32), No. 12, 2014, pp. 1007-1020.
Elsevier DOI
1412
Automatic flower image segmentation
BibRef
Zhang, L.,
Zhang, D.,
Visual Understanding via Multi-Feature Shared Learning With Global
Consistency,
MultMed(18), No. 2, February 2016, pp. 247-259.
IEEE DOI
1601
Kernel
Code, Visual Learning. Code is available:
HTML Version.
BibRef
Lee, H.H.[Hyo-Haeng],
Hong, K.S.[Kwang-Seok],
Automatic recognition of flower species in the natural environment,
IVC(61), No. 1, 2017, pp. 98-114.
Elsevier DOI
1704
Flower image
BibRef
Hiary, H.[Hazem],
Saadeh, H.[Heba],
Saadeh, M.[Maha],
Yaqub, M.[Mohammad],
Flower classification using deep convolutional neural networks,
IET-CV(12), No. 6, September 2018, pp. 855-862.
DOI Link
1808
BibRef
Paz-Kagan, T.[Tarin],
Silver, M.[Micha],
Panov, N.[Natalya],
Karnieli, A.[Arnon],
Multispectral Approach for Identifying Invasive Plant Species Based
on Flowering Phenology Characteristics,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Chen, B.[Bin],
Jin, Y.F.[Yu-Fang],
Brown, P.[Patrick],
An enhanced bloom index for quantifying floral phenology using
multi-scale remote sensing observations,
PandRS(156), 2019, pp. 108-120.
Elsevier DOI
1909
Bloom intensity, Phenology, Multi-scale remote sensing, Almond
BibRef
Thompson, P.,
Brink, W.,
Image identification of Protea species with attributes and subgenus
scaling,
WACV20(2094-2102)
IEEE DOI
2006
Biodiversity, Monitoring, Training, Image recognition,
Feature extraction, Image color analysis, Convolutional neural networks
BibRef
Xu, Y.X.[Ying-Xue],
Wen, G.H.[Gui-Hua],
Hu, Y.[Yang],
Luo, M.N.[Ming-Nan],
Dai, D.[Dan],
Zhuang, Y.S.[Yi-Shan],
Hall, W.[Wendy],
Multiple attentional pyramid networks for Chinese herbal recognition,
PR(110), 2021, pp. 107558.
Elsevier DOI
2011
Pyramid networks, Attention mechanism, Multi-scale features,
Chinese herbal recognition, Chinese herbs image datasets
BibRef
Choudhury, S.D.[Sruti Das],
Guha, S.[Samarpan],
Das, A.[Aankit],
Das, A.K.[Amit Kumar],
Samal, A.[Ashok],
Awada, T.[Tala],
FlowerPhenoNet: Automated Flower Detection from Multi-View Image
Sequences Using Deep Neural Networks for Temporal Plant Phenotyping
Analysis,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Liu, W.[Wei],
Han, H.[Huirui],
Han, G.[Guilai],
Transfer Learning with Deep Convolutional Neural Network for
Automated Plant Identification,
ICIVC22(555-560)
IEEE DOI
2301
Visualization, Adaptation models, Image recognition, Databases,
Annotations, Transfer learning, Convolutional neural networks,
Flower and Fruit Classification
BibRef
Yin, S.Y.[Shu-Yuan],
Xu, W.X.[Wen-Xia],
Yu, B.C.[Bao-Cheng],
Li, J.X.[Jia-Xin],
Liao, C.[Chuyuan],
Lv, C.[Canjiong],
Deep Learning Based Binocular Detection and Localization Method for
Roses,
ICRVC22(118-122)
IEEE DOI
2301
Deep learning, Measurement uncertainty, Estimation,
Object detection, Feature extraction, Real-time systems, flower localization
BibRef
He, M.Z.[Ming-Zhi],
Zhu, H.S.[Hua-Sheng],
Li, Y.J.[Yong-Jian],
Tang, S.Y.[Shu-Yin],
Sun, Z.X.[Zhan-Xin],
Flower Image Classification Based on Multi-scale Dense Residual
Network,
ICIVC21(144-148)
IEEE DOI
2112
Convolution, Animals, Classification algorithms,
Image classification, Residual neural networks, Convergence,
dense connection
BibRef
Xu, X.C.[Xian-Chong],
Gao, Y.Y.[Yuan-Yuan],
Flower Species Recognition Based on the Convolutional Neural Network,
ICIVC21(106-111)
IEEE DOI
2112
Training, Graphics, Image recognition, Computational modeling,
Face recognition, Manuals, Information processing,
deep learning
BibRef
Pahalawatta, K.,
Fourie, J.,
Parker, A.,
Carey, P.,
Werner, A.,
Detection and classification of opened and closed flowers in grape
inflorescences using Mask R-CNN,
IVCNZ20(1-6)
IEEE DOI
2012
Image quality, Image processing, Pipelines, Lighting,
Object detection, Tools, Time measurement
BibRef
Najda, K.[Krzysztof],
Dabala, L.[Lukasz],
Biologically Inspired Modelling of Flowers,
ICCVG20(110-120).
Springer DOI
2009
BibRef
Xia, X.L.[Xiao-Ling],
Xu, C.[Cui],
Nan, B.[Bing],
Inception-v3 for flower classification,
ICIVC17(783-787)
IEEE DOI
1708
Birds, Classification algorithms, Computational modeling,
Image recognition, Image segmentation, Indexes,
Support vector machines, TensorFlow, flower classification,
inception-v3, transfer, learning
BibRef
Wang, Z.,
Verma, B.,
Walsh, K.B.,
Subedi, P.,
Koirala, A.,
Automated mango flowering assessment via refinement segmentation,
ICVNZ16(1-6)
IEEE DOI
1701
Agriculture
BibRef
Puttemans, S.[Steven],
Goedeme, T.[Toon],
Visual detection and species classification of orchid flowers,
MVA15(505-509)
IEEE DOI
1507
Image color analysis
BibRef
Zhang, C.X.[Chen-Xi],
Ye, M.[Mao],
Fu, B.[Bo],
Yang, R.G.[Rui-Gang],
Data-Driven Flower Petal Modeling with Botany Priors,
CVPR14(636-643)
IEEE DOI
1409
BibRef
Hong, S.W.[Soon-Won],
Choi, L.,
Automatic recognition of flowers through color and edge based contour
detection,
IPTA12(141-146)
IEEE DOI
1503
edge detection
BibRef
Mukherjee, S.,
Sarkar, R.,
Vandenbrink, J.,
Acton, S.T.,
Blackman, B.,
Tracking sunflower circumnutation using affine parametric active
contours,
Southwest14(93-96)
IEEE DOI
1406
botany
BibRef
Angelova, A.,
Zhu, S.H.[Sheng-Huo],
Lin, Y.Q.[Yuan-Qing],
Image segmentation for large-scale subcategory flower recognition,
WACV13(39-45).
IEEE DOI
1303
BibRef
Deepika, K.,
Ruth, I.,
Keerthana, S.,
Bama, B.S.[B. Sathya],
Avvailakshmi, S.,
Vidhya, A.,
Robust plant recognition using Graph cut based flower segmentation and
PHOG based feature extraction,
IMVIP12(44-47).
IEEE DOI
1302
BibRef
Najjar, A.[Asma],
Zagrouba, E.[Ezzeddine],
An Unsupervised Evaluation Measure of Image Segmentation:
Application to Flower Image Segmentation,
ISVC12(II: 448-457).
Springer DOI
1209
BibRef
Chatterjee, S.[Shoma],
Anisotropic Diffusion and Segmentation of Colored Flowers,
ICCVGIP08(599-605).
IEEE DOI
0812
BibRef
Cho, S.Y.[Siu-Yeung],
Lim, P.T.[Peh-Ti],
A novel Virus Infection Clustering for Flower Images Identification,
ICPR06(II: 1038-1041).
IEEE DOI
0609
BibRef
Zou, J.[Jie],
Nagy, G.,
Evaluation of model-based interactive flower recognition,
ICPR04(II: 311-314).
IEEE DOI
0409
BibRef
Saitoh, T.,
Aoki, K.,
Kaneko, T.,
Automatic recognition of blooming flowers,
ICPR04(I: 27-30).
IEEE DOI
0409
BibRef
Saitoh, T.,
Kaneko, T.,
Automatic Recognition of Wild Flowers,
ICPR00(Vol II: 507-510).
IEEE DOI
0009
From leaves and flowers.
BibRef
Das, M.[Madirakshi],
Manmatha, R.,
Riseman, E.M.[Edward M.],
Indexing Flowers by Color Names Using
Domain Knowledge-Driven Segmentation,
WACV98(94-99).
IEEE DOI
9809
BibRef
And:
Indexing Flowers by Color Names,
DARPA98(1277-1282).
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Plants, Leaf Shapes, Leaf Analysis, Leaf Segmentation .