Artificial vision and pattern recognition applied to vegetal plasticity

• Grant number: 14/08026-1
• Support type: Regular Research Grants
• Duration: September 01, 2016 - May 31, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal researcher: Odemir Martinez Bruno
• Grantee: Odemir Martinez Bruno
• Home Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Assoc. 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 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)

Scientific publications

(29)

(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)

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, JAN 2022. Web of Science Citations: 0.

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, MAY 2021. Web of Science Citations: 1.

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, FEB 15 2021. Web of Science Citations: 0.

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, JUL 2020. Web of Science Citations: 0.

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, APR 2020. Web of Science Citations: 0.

SCABINI, LEONARDO F. S.; RIBAS, LUCAS C.; BRUNO, ODEMIR M. Spatio-spectral networks for color-texture analysis. INFORMATION SCIENCES, v. 515, p. 64-79, APR 2020. Web of Science Citations: 0.

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, MAR 1 2020. Web of Science Citations: 0.

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, NOV 30 2019. Web of Science Citations: 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, SEP 2019. Web of Science Citations: 0.

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, JUL 2019. Web of Science Citations: 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, JUL 2019. Web of Science Citations: 2.

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 MAY 2019. Web of Science Citations: 0.

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, FEB 2019. Web of Science Citations: 1.

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 JAN 15 2019. Web of Science Citations: 8.

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, JAN 2019. Web of Science Citations: 0.

RIBAS, LUCAS CORREIA; NEIVA, MARIANE BARROS; BRUNO, ODEMIR MARTINEZ. Distance transform network for shape analysis. INFORMATION SCIENCES, v. 470, p. 28-42, JAN 2019. Web of Science Citations: 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, DEC 2018. Web of Science Citations: 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, NOV 2018. Web of Science Citations: 0.

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, OCT 29 2018. Web of Science Citations: 2.

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, OCT 27 2018. Web of Science Citations: 3.

FLORINDO, JOAO BATISTA; CASANOVA, DALCIMAR; BRUNO, ODEMIR MARTINEZ. A Gaussian pyramid approach to Bouligand-Minkowski fractal descriptors. INFORMATION SCIENCES, v. 459, p. 36-52, AUG 2018. Web of Science Citations: 2.

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 MAY 7 2018. Web of Science Citations: 2.

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, MAY 1 2018. Web of Science Citations: 2.

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 MAR 22 2018. Web of Science Citations: 0.

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, MAR 1 2018. Web of Science Citations: 2.

FLORINDO, JOAO BATISTA; BRUNO, ODEMIR MARTINEZ. Discrete Schroedinger transform for texture recognition. INFORMATION SCIENCES, v. 415, p. 142-155, NOV 2017. Web of Science Citations: 3.

MACHICAO, JEANETH; BRUNO, ODEMIR M. Improving the pseudo-randomness properties of chaotic maps using deep-zoom. Chaos, v. 27, n. 5 MAY 2017. Web of Science Citations: 5.

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, FEB 1 2017. Web of Science Citations: 2.

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, NOV 22 2016. Web of Science Citations: 3.