PROCESSING OF PHOTOMICROGRAPHS USING THE STARLET WAVELET TRANSFORM

• Grant number: 11/09438-3
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: August 01, 2011
• End date: February 28, 2015
• Field of knowledge: Engineering - Materials and Metallurgical Engineering - Nonmetallic Materials
• Principal Investigator: Aldo Eloizo Job
• Grantee: Alexandre Fioravante de Siqueira
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

This project continues the research project developed by the student in his masters degree, approaching the estimation of the value of materials properties using wavelet transforms. In a first moment these transforms will be Haar and Daubechies wavelets. Wavelets, applied in a digital image of the sample, turn it into a signal in frequency and time domains, returning important information. Each wavelet has its peculiarities, so the results obtained by different wavelets are distinct. In this task the software WaveFPR, created by the student during his master's project, will be used. After processed by WaveFPR, the input images are converted into a matrix of coefficients, or "digital signature ", with which data are compared. After the nominal value for certain property of interest from a sample is obtained by usual methods, the images will be compared statistically and the best wavelet is chosen to represent that property. Thus, a model is created for each sample of a material. Among the materials examined include the membranes of natural rubber with additives such as industrial waste, leather, metal nanoparticles of gold, silver and ceramics. New images of similar materials will be analyzed and its results are compared with the model previously stored, then determining whether that property in the sample has a high value or not, without the need for regular tests.

Scientific publications

(4)

(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)

DE SIQUEIRA, A. F.; CABRERA, F. C.; PAGAMISSE, A.; JOB, A. E.. Estimating the concentration of gold nanoparticles incorporated on natural rubber membranes using multi-level starlet optimal segmentation. JOURNAL OF NANOPARTICLE RESEARCH, v. 16, n. 12, DEC 2014. (11/09438-3, 10/20496-2)

DE SIQUEIRA, ALEXANDRE FIORAVANTE; CABRERA, FLAVIO CAMARGO; NAKASUGA, WAGNER MASSAYUKI; PAGAMISSE, AYLTON; JOB, ALDO ELOIZO. Jansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets. MICROSCOPY RESEARCH AND TECHNIQUE, v. 81, n. 1, p. 22-32, JAN 2018. (11/09438-3, 10/20496-2, 07/04952-5, 09/04962-6, 10/03282-9)

DE SIQUEIRA, ALEXANDRE FIORAVANTE; CABRERA, FLAVIO CAMARGO; PAGAMISSE, AYLTON; JOB, ALDO ELOIZO. Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets. MICROSCOPY RESEARCH AND TECHNIQUE, v. 77, n. 1, p. 71-78, JAN 2014. (11/09438-3, 10/03282-9)

DE SIQUEIRA, ALEXANDRE FIORAVANTE; NAKASUGA, WAGNER MASSAYUKI; PAGAMISSE, AYLTON; TELLO SAENZ, CARLOS ALBERTO; JOB, ALDO ELOIZO. An automatic method for segmentation of fission tracks in epidote crystal photomicrographs. Computers & Geosciences, v. 69, p. 55-61, AUG 2014. (11/09438-3, 10/20496-2)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SIQUEIRA, Alexandre Fioravante de. Processamento de fotomicrografias por meio da transformada wavelet starlet. 2015. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Faculdade de Ciências. Bauru Bauru.