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Artificial vision and pattern recognition applied to vegetal plasticity

Grant number: 14/08026-1
Support Opportunities:Regular Research Grants
Start date: September 01, 2016
End date: May 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Odemir Martinez Bruno
Grantee:Odemir Martinez Bruno
Host Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated researchers:Alexandre Souto Martinez ; Antoine Manzanera ; Antoine Vacavant ; Davi Rodrigo Rossatto ; Francisco Eduardo Gontijo Guimaraes ; Jan Marcel Baetens ; Joao Batista Florindo ; Luís Carlos Bernacci ; Marcos Silveira Buckeridge ; Pedro Henrique de Cerqueira Luz ; Rosana Marta Kolb
Associated research grant(s):18/08239-6 - Visualization of non-linear time-series transformed as networks for pattern recognition, AP.R SPRINT
18/23794-6 - Exploring a paradigm of quantum imaging for biomedical and agricultural applications, AP.R SPRINT

Abstract

Phenotypic plasticity is the ability of an organism to express different phenotypes depending on the biotic and abiotic environment. In plants, phenotypic plasticity is the ability to change your physiology or morphology according to the ambient conditions. This project has the objective to use computer vision and pattern recognition methods to analyze the phenotypic plasticity of plants through images of leaf surface and histologic sections of the leaf organs.These images are presented as characteristic nonlinearity, and the presence of complex phenomena. Thus, methods are based on complex systems used for analysis. They are considered in this design methods based on fractal geometry, complex networks and automata. The use of methods based on complex systems in images and pattern recognition is the proponent of specialty investigating the issue for more than a decade.The applications of foliar plasticity analysis are diverse and range from theoretical areas such as botany and plant physiology to applied ones as biotechnology and agriculture. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications (40)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
RODRIGUEZ, MAYRA Z.; COMIN, CESAR H.; CASANOVA, DALCIMAR; BRUNO, ODEMIR M.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F.; RODRIGUES, FRANCISCO A.. Clustering algorithms: A comparative approach. PLoS One, v. 14, n. 1, . (16/19069-9, 14/20830-0, 15/18942-8, 15/22308-2, 14/08026-1, 18/09125-4, 11/50761-2)
MACHICAO, JEANETH; BRUNO, ODEMIR M.. Improving the pseudo-randomness properties of chaotic maps using deep-zoom. Chaos, v. 27, n. 5, . (14/08026-1)
RIBAS, LUCAS C.; MACHICAO, JEANETH; BRUNO, ODEMIR M.. Life-Like Network Automata descriptor based on binary patterns for network classification. INFORMATION SCIENCES, v. 515, p. 156-168, . (16/23763-8, 16/18809-9, 14/08026-1)
RIBAS, LUCAS C.; BRUNO, ODEMIR M.. Dynamic texture analysis using networks generated by deterministic partially self-avoiding walks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 541, . (16/23763-8, 16/18809-9, 14/08026-1)
RIBAS, LUCAS CORREIA; NEIVA, MARIANE BARROS; BRUNO, ODEMIR MARTINEZ. Distance transform network for shape analysis. INFORMATION SCIENCES, v. 470, p. 28-42, . (16/23763-8, 14/08026-1)
MESQUITA SA JUNIOR, JARBAS JOACIDE; BACKES, ANDRE RICARDO; BRUNO, ODEMIR MARTINEZ. Randomized neural network based signature for color texture classification. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, v. 30, n. 3, p. 1171-1186, . (16/18809-9, 14/08026-1)
FLORINDO, JOAO BATISTA; BRUNO, ODEMIR MARTINEZ. Discrete Schroedinger transform for texture recognition. INFORMATION SCIENCES, v. 415, p. 142-155, . (16/16060-0, 12/19143-3, 14/08026-1)
CONDORI, RAYNER H. M.; BRUNO, ODEMIR M.. Analysis of activation maps through global pooling measurements for texture classification. INFORMATION SCIENCES, v. 555, p. 260-279, . (16/18809-9, 14/08026-1)
SCABINI, LEONARDO; RIBAS, LUCAS; RIBEIRO, ERALDO; BRUNO, ODEMIR; RIBEIRO, P; SILVA, F; MENDES, JF; LAUREANO, R. Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification. NETWORK SCIENCE (NETSCI-X 2022), v. 13197, p. 13-pg., . (16/18809-9, 21/09163-6, 14/08026-1, 19/07811-0, 16/23763-8)
ZIELINSKI, KALLIL M. C.; RIBAS, LUCAS C.; SCABINI, LEONARDO F. S.; BRUNO, ODEMIR M.; IEEE. Complex Texture Features Learned by Applying Randomized Neural Network on Graphs. 2022 ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), v. N/A, p. 6-pg., . (14/08026-1, 21/07289-2, 16/18809-9, 18/22214-6)
SCABINI, LEONARDO F. S.; CONDORI, RAYNER H. M.; RIBAS, LUCAS C.; BRUNO, ODEMIR M.; RICCI, E; BULO, SR; SNOEK, C; LANZ, O; MESSELODI, S; SEBE, N. Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors. IMAGE ANALYSIS AND PROCESSING - ICIAP 2019, PT II, v. 11752, p. 11-pg., . (14/08026-1, 19/03277-0, 16/18809-9, 16/23763-8)
MACHICAO, JEANETH; BRUNO, ODEMIR M.; IOP. A cryptographic hash function based on chaotic network automata. WAKE CONFERENCE 2021, v. 936, p. 4-pg., . (14/08026-1)
DE MESQUITA SA JUNIOR, JARBAS JOACI; BACKES, ANDRE R.; BRUNO, ODEMIR M.; PAIVA, AC; CONCI, A; BRAZ, G; ALMEIDA, JDS; FERNANDES, LAF. Shape Classification Using Randomized Neural Network Descriptors Extracted from the Fourier Spectrum. PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), 27TH EDITION, v. N/A, p. 6-pg., . (14/08026-1)
DE ALMEIDA FILHO, HUMBERTO ANTUNES; MACHICAO, JEANETH; BRUNO, ODEMIR M.; IOP. Geometric plasticity at leaves from Ctenanthe oppenheimiana probed by measure of distances between stomata. WAKE CONFERENCE 2021, v. 936, p. 4-pg., . (14/08026-1)
RIBAS, LUCAS C.; BRUNO, ODEMIR M.; RICCI, E; BULO, SR; SNOEK, C; LANZ, O; MESSELODI, S; SEBE, N. Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks. IMAGE ANALYSIS AND PROCESSING - ICIAP 2019, PT I, v. 11751, p. 12-pg., . (19/03277-0, 16/23763-8, 14/08026-1)
MACHICAO, JEANETH; FILHO, HUMBERTO A.; LAHR, DANIEL J. G.; BUCKERIDGE, MARCOS; BRUNO, ODEMIR M.. Topological assessment of metabolic networks reveals evolutionary information. SCIENTIFIC REPORTS, v. 8, . (14/08026-1, 13/04585-3)
SCABINI, LEONARDO F. S.; RIBAS, LUCAS C.; NEIVA, MARIANE B.; JUNIOR, ALTAMIR G. B.; FARFAN, ALEX J. F.; BRUNO, ODEMIR M.. Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 564, . (16/18809-9, 14/08026-1, 19/07811-0, 16/23763-8)
RIBAS, LUCAS C.; DE MESQUITA SA JUNIOR, JARBAS JOACI; MANZANERA, ANTOINE; BRUNO, ODEMIR M.. Learning graph representation with Randomized Neural Network for dynamic texture classification. APPLIED SOFT COMPUTING, v. 114, . (16/23763-8, 18/22214-6, 16/18809-9, 14/08026-1, 19/03277-0)
SCABINI, LEONARDO F. S.; CONDORI, RAYNER H. M.; GONCALVES, WESLEY N.; BRUNO, ODEMIR M.. Multilayer complex network descriptors for color-texture characterization. INFORMATION SCIENCES, v. 491, p. 30-47, . (16/18809-9, 14/08026-1)
DE MESQUITA SA JUNIOR, JARBAS JOACI; BACKES, ANDRE RICARDO; BRUNO, ODEMIR MARTINEZ. Randomized neural network based descriptors for shape classification. Neurocomputing, v. 312, p. 201-209, . (16/18809-9, 14/08026-1)
FLORINDO, JOAO B.; BRUNO, ODEMIR M.; LANDINI, GABRIEL. Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors. COMPUTERS IN BIOLOGY AND MEDICINE, v. 81, p. 1-10, . (12/19143-3, 14/08026-1, 13/22205-3)
MACHICAO, JEANETH; RIBAS, LUCAS C.; SCABINI, LEONARDO F. S.; BRUNO, ODERMIR M.. Cellular automata rule characterization and classification using texture descriptors. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 497, p. 109-117, . (16/23763-8, 14/08026-1)
SCABINI, LEONARDO F. S.; CONDORI, RAYNER M.; MUNHOZ, ISABELLA C. L.; BRUNO, ODEMIR M.; VENTO, M; PERCANNELLA, G. Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT II, v. 11679, p. 13-pg., . (16/18809-9, 14/08026-1)
RIBAS, LUCAS C.; MANZANERA, ANTOINE; BRUNO, ODEMIR M.; VENTO, M; PERCANNELLA, G. A Fractal-Based Approach to Network Characterization Applied to Texture Analysis. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT I, v. 11678, p. 12-pg., . (19/03277-0, 16/18809-9, 16/23763-8, 14/08026-1)
FARFAN, ALEX J. F.; SCABINI, LEONARDO F. S.; BRUNO, ODEMIR M.; VENTO, M; PERCANNELLA, G. A Web-Based System to Assess Texture Analysis Methods and Datasets. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT II, v. 11679, p. 13-pg., . (16/18809-9, 14/08026-1)
MIRANDA, GISELE H. B.; MACHICAO, JEANETH; BRUNO, ODEMIR M.. An optimized shape descriptor based on structural properties of networks. DIGITAL SIGNAL PROCESSING, v. 82, p. 216-229, . (15/05899-7, 16/18809-9, 14/08026-1)
DE MESQUITA SA JUNIOR, JARBAS JOACI; RIBAS, LUCAS CORREIA; BRUNO, ODEMIR MARTINEZ. Randomized neural network based signature for dynamic texture classification. EXPERT SYSTEMS WITH APPLICATIONS, v. 135, p. 194-200, . (16/18809-9, 16/23763-8, 14/08026-1)
FLORINDO, JOAO B.; BRUNO, ODEMIR M.. Texture classification using non-Euclidean Minkowski dilation. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 493, p. 189-202, . (16/16060-0, 12/19143-3, 14/08026-1)
MACHICAO, JEANETH; CORREA, JR., EDILSON A.; MIRANDA, GISELE H. B.; AMANCIO, DIEGO R.; BRUNO, ODEMIR M.. Authorship attribution based on Life-Like Network Automata. PLoS One, v. 13, n. 3, . (17/13464-6, 14/20830-0, 15/05899-7, 16/19069-9, 14/08026-1)
MACHICAO, JEANETH; ALVES, MARCELA; BAPTISTA, MURILO S.; BRUNO, ODEMIR M.. Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, v. 30, n. 5, . (14/08026-1)
RIBAS, LUCAS C.; GONCALVES, WESLEY N.; BRUNO, ODEMIR M.. Dynamic texture analysis with diffusion in networks. DIGITAL SIGNAL PROCESSING, v. 92, p. 109-126, . (16/23763-8, 14/08026-1)
RIBAS, LUCAS CORREIA; GONCALVES, DIOGO NUNES; SILVA, JONATHAN DE ANDRADE; DE CASTRO, JR., AMAURY ANTONIO; BRUNO, ODEMIR MARTINEZ; GONCALVES, WESLEY NUNES. Fractal dimension of bag-of-visual words. PATTERN ANALYSIS AND APPLICATIONS, v. 22, n. 1, p. 89-98, . (16/18809-9, 16/23763-8, 14/08026-1)
FLORINDO, JOAO BATISTA; CASANOVA, DALCIMAR; BRUNO, ODEMIR MARTINEZ. A Gaussian pyramid approach to Bouligand-Minkowski fractal descriptors. INFORMATION SCIENCES, v. 459, p. 36-52, . (16/16060-0, 12/19143-3, 14/08026-1, 13/22205-3)
RIBAS, LUCAS C.; SA JUNIOR, JARBAS JOACI DE MESQUITA; SCABINI, LEONARDO F. S.; BRUNO, ODEMIR M.. Fusion of complex networks and randomized neural networks for texture analysis. PATTERN RECOGNITION, v. 103, . (16/23763-8, 16/18809-9, 14/08026-1)
BARBONI MIRANDA, GISELE HELENA; MACHICAO, JEANETH; BRUNO, ODEMIR MARTINEZ. Exploring Spatio-temporal Dynamics of Cellular Automata for Pattern Recognition in Networks. SCIENTIFIC REPORTS, v. 6, . (15/05899-7, 14/08026-1)
FILHO, HUMBERTO A.; MACHICAO, JEANETH; BRUNO, ODEMIR M.. A hierarchical model of metabolic machinery based on the kcore decomposition of plant metabolic networks. PLoS One, v. 13, n. 5, . (14/08026-1)
NEIVA, MARIANE BARROS; VACAVANT, ANTOINE; BRUNO, ODEMIR MARTINEZ. Improving texture extraction and classification using smoothed morphological operators. DIGITAL SIGNAL PROCESSING, v. 83, p. 24-34, . (14/08026-1)
FLORINDO, JOAO BATISTA; BRUNO, ODEMIR MARTINEZ. Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension. Journal of Mathematical Imaging and Vision, v. 61, n. 1, p. 140-159, . (13/22205-3, 16/16060-0, 12/19143-3, 14/08026-1)
SCABINI, LEONARDO F. S.; RIBAS, LUCAS C.; BRUNO, ODEMIR M.. Spatio-spectral networks for color-texture analysis. INFORMATION SCIENCES, v. 515, p. 64-79, . (16/23763-8, 16/18809-9, 14/08026-1)
DE CASTRO, LUCAS D. C.; SCABINI, LEONARDO; RIBAS, LUCAS C.; BRUNO, ODEMIR M.; OLIVEIRA JR, OSVALDO N.. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. EXPERT SYSTEMS WITH APPLICATIONS, v. 212, p. 7-pg., . (20/02938-0, 16/18809-9, 18/22214-6, 14/08026-1, 21/07289-2, 19/07811-0)