19.6.3.7.1 Pollen Detection, Analysis

Chapter Contents (Back)
Pollen. Application, Pollen.

Carrión, P., Cernadas, E., Gálvez, J.F., Rodroguez-Damián, M., de Sá-Otero, P.,
Classification of honeybee pollen using a multiscale texture filtering scheme,
MVA(15), No. 4, October 2004, pp. 186-193.
Springer DOI 0410
BibRef

Rodriguez-Damian, M., Cernadas, E., Formella, A., Fernandez-Delgado, M., DeSa-Otero, P.,
Automatic Detection and Classification of Grains of Pollen Based on Shape and Texture,
SMC-C(36), No. 4, July 2006, pp. 531-542.
IEEE DOI 0606
BibRef

Rodroguez-Damian, M., Cernadas, E., de Sa-Otero, P., Formella, A.,
Pollen classification using brightness-based and shape-based descriptors,
ICPR04(II: 212-215).
IEEE DOI 0409
BibRef

Wang, Q.[Qing], Ronneberger, O.[Olaf], Burkhardt, H.[Hans],
Rotational Invariance Based on Fourier Analysis in Polar and Spherical Coordinates,
PAMI(31), No. 9, September 2009, pp. 1715-1722.
IEEE DOI 0907
BibRef
Earlier: A2, A1, A3:
3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition,
DAGM07(425-435).
Springer DOI 0709
BibRef

Ronneberger, O.[Olaf], Burkhardt, H.[Hans], Schultz, E.,
General-purpose object recognition in 3D volume data sets using gray-scale invariants: Classification of airborne pollen-grains recorded with a confocal laser scanning microscope,
ICPR02(II: 290-295).
IEEE DOI 0211
BibRef

Tambo, A.L.[Asongu L.], Bhanu, B.[Bir], Ung, N.[Nolan], Thakoor, N.[Ninad], Luo, N.[Nan], Yang, Z.B.[Zhen-Biao],
Understanding pollen tube growth dynamics using the Unscented Kalman Filter,
PRL(72), No. 1, 2016, pp. 100-108.
Elsevier DOI 1604
Pollen tubes BibRef

Tambo, A.L.[Asongu L.], Bhanu, B.[Bir], Luo, N.[Nan], Harlowt, G.[Geoffrey], Yang, Z.B.[Zhen-Biao],
Integrated Model for Understanding Pollen Tube Growth in Video,
ICPR14(2727-2732)
IEEE DOI 1412
BibRef

Tambo, A.L.[Asongu L.], Bhanu, B.[Bir],
Dynamic bi-modal fusion of images for the segmentation of pollen tubes in video,
ICIP15(148-152)
IEEE DOI 1512
Fluorescence and Brightfield video analysis BibRef


Amu, G., Hasi, S.,
Digital description and recognition of pollen granules with invariant moments,
ICIVC17(268-271)
IEEE DOI 1708
Image recognition, Microscopy, Microstructure, Pattern recognition, Shape, Testing, Training, image recognition, invariant moment, microscopic image, pollen, granule BibRef

Filipovych, R., Daood, A., Ribeiro, E., Bush, M.,
Pollen recognition in optical microscopy by matching multifocal image sequences,
ICPR16(2127-2132)
IEEE DOI 1705
Histograms, Image segmentation, Image sequences, Mathematical model, Microscopy, Optical microscopy, Visualization BibRef

Daood, A., Ribeiro, E., Bush, M.,
Pollen recognition using a multi-layer hierarchical classifier,
ICPR16(3091-3096)
IEEE DOI 1705
Convolution, Feature extraction, Fractals, Histograms, Support vector machines, Training, Training, data BibRef

Tambo, A.L., Bhanu, B.,
Temporal dynamics of tip fluorescence predict cell growth behavior in pollen tubes,
ICPR16(1171-1176)
IEEE DOI 1705
Electron tubes, Feature extraction, Fluorescence, Mathematical model, Oscillators, Shape, Turning, tip growth, tip growth classification, tip growth cycle detection, tip, growth, features BibRef

Daood, A.[Amar], Ribeiro, E.[Eraldo], Bush, M.[Mark],
Classifying Pollen Using Robust Sequence Alignment of Sparse Z-Stack Volumes,
ISVC16(I: 331-340).
Springer DOI 1701
BibRef

Daood, A.[Amar], Ribeiro, E.[Eraldo], Bush, M.[Mark],
Pollen Grain Recognition Using Deep Learning,
ISVC16(I: 321-330).
Springer DOI 1701
BibRef

Kong, S., Punyasena, S., Fowlkes, C.,
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification,
Microscopy16(1305-1314)
IEEE DOI 1612
BibRef

Lozano-Vega, G.[Gildardo], Benezeth, Y.[Yannick],
Classification of Pollen Apertures Using Bag of Words,
CIAP13(I:712-721).
Springer DOI 1311
BibRef

Nguyen, N.R., Donalson-Matasci, M., Shin, M.C.,
Improving pollen classification with less training effort,
WACV13(421-426).
IEEE DOI 1303
BibRef

Boucher, A.[Alain], Thonnat, M.[Monique],
Object recognition from 3d blurred images,
ICPR02(I: 800-803).
IEEE DOI 0211
Microscope images of pollen grains. Classify based on learned features. BibRef

France, I., Duller, A.W.G., Lamb, H.F., Duller, G.A.T.,
A comparative study of approaches to automatic pollen identification,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Fruit Detection, Fruit Inspection, Apples, Oranges .


Last update:Nov 18, 2017 at 20:56:18