dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:15:28Z
dc.date.available2018-12-11T17:15:28Z
dc.date.created2018-12-11T17:15:28Z
dc.date.issued2018-01-01
dc.identifierMicroscopy Research and Technique, v. 81, n. 1, p. 22-32, 2018.
dc.identifier1097-0029
dc.identifier1059-910X
dc.identifierhttp://hdl.handle.net/11449/175359
dc.identifier10.1002/jemt.22952
dc.identifier2-s2.0-85031729509
dc.description.abstractImage 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%.
dc.languageeng
dc.relationMicroscopy Research and Technique
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectcomputer vision
dc.subjectimage segmentation
dc.subjectMATLAB
dc.subjectmicroscopy
dc.subjectwavelets
dc.titleJansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets
dc.typeArtículos de revistas


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