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Jansen‐MIDAS: A multi‐level photomicrograph segmentation software based on isotropic undecimated wavelets
Author(s) -
de Siqueira Alexandre Fioravante,
Cabrera Flávio Camargo,
Nakasuga Wagner Massayuki,
Pagamisse Aylton,
Job Aldo Eloizo
Publication year - 2018
Publication title -
microscopy research and technique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 118
eISSN - 1097-0029
pISSN - 1059-910X
DOI - 10.1002/jemt.22952
Subject(s) - segmentation , artificial intelligence , computer science , process (computing) , software , pattern recognition (psychology) , scale space segmentation , region of interest , computer vision , image segmentation , programming language , operating system
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%.