Jansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets
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Data
2018-01-01
Autores
de Siqueira, Alexandre Fioravante
Cabrera, Flávio Camargo [UNESP]
Nakasuga, Wagner Massayuki
Pagamisse, Aylton [UNESP]
Job, Aldo Eloizo [UNESP]
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Resumo
Image segmentation, the process of separating the elements within a picture, is frequently used for obtaining information from photomicrographs. Segmentation methods should be used with reservations, since incorrect results can mislead when interpreting regions of interest (ROI). This decreases the success rate of extra procedures. Multi-Level Starlet Segmentation (MLSS) and Multi-Level Starlet Optimal Segmentation (MLSOS) were developed to be an alternative for general segmentation tools. These methods gave rise to Jansen-MIDAS, an open-source software. A scientist can use it to obtain several segmentations of hers/his photomicrographs. It is a reliable alternative to process different types of photomicrographs: previous versions of Jansen-MIDAS were used to segment ROI in photomicrographs of two different materials, with an accuracy superior to 89%.
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computer vision, image segmentation, MATLAB, microscopy, wavelets
Como citar
Microscopy Research and Technique, v. 81, n. 1, p. 22-32, 2018.