19.7.3.7.8 Plants, Flowers, Flower Shape, Flower Color

Chapter Contents (Back)
Flowers. Application, Flowers.

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.[Yufang], 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


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 .


Last update:Jul 11, 2021 at 20:18:24