The Experts below are selected from a list of 225 Experts worldwide ranked by ideXlab platform
Alexandre Fioravante De Siqueira - One of the best experts on this subject based on the ideXlab platform.
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Jansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets
Estados Unidos, 2020Co-Authors: Alexandre Fioravante De Siqueira, Cabrera, Flávio Camargo, Nakasuga, Wagner Massayuki, Pagamisse Aylton, Job, Aldo EloizoAbstract:FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOImage 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%.8112232FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO2007/04952-52009/04962-62010/03282-92010/20496-22011/09438-
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Segmentation of nearly isotropic overlapped tracks in Photomicrographs using successive erosions as watershed markers.
Microscopy research and technique, 2019Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Sandro Guedes, Lothar RatschbacherAbstract:INTRODUCTION Procedures for measuring and counting tracks are time-consuming and involve practical problems. The precision of automatic counting methods is not satisfactory yet; the major challenges are distinguishing tracks and material defects, identifying small tracks and defects of similar size, and detecting overlapping tracks. MATERIALS AND METHODS Here, we address the overlapping tracks issue using the algorithm Watershed Using Successive Erosions as Markers (WUSEM), which combines the watershed transform, morphological erosions and labeling to separate regions in Photomicrographs. We tested this method in two data sets of diallyl phthalate (DAP) Photomicrographs and compared the results when counting manually and using the classic watershed and H-watershed transforms. RESULTS The mean automatic/manual efficiency counting ratio when using WUSEM in the test data sets is 0.97 ± 0.11. CONCLUSION WUSEM shows reliable results when used in Photomicrographs presenting almost isotropic objects. Also, diameter and eccentricity criteria may be used to increase the reliability of this method.
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Jansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets.
Microscopy research and technique, 2017Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Flávio Camargo Cabrera, Aldo Eloizo JobAbstract: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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Segmentation of nearly isotropic overlapped tracks in Photomicrographs using successive erosions as watershed markers
arXiv: Computer Vision and Pattern Recognition, 2017Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Sandro Guedes, Lothar RatschbacherAbstract:The major challenges of automatic track counting are distinguishing tracks and material defects, identifying small tracks and defects of similar size, and detecting overlapping tracks. Here we address the latter issue using WUSEM, an algorithm which combines the watershed transform, morphological erosions and labeling to separate regions in Photomicrographs. WUSEM shows reliable results when used in Photomicrographs presenting almost isotropic objects. We tested this method in two datasets of diallyl phthalate (DAP) Photomicrographs and compared the results when counting manually and using the classic watershed. The mean automatic/manual efficiency ratio when using WUSEM in the test datasets is 0.97 +/- 0.11.
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Jansen-MIDAS: a multi-level photomicrograph segmentation software based on isotropic undecimated wavelets
arXiv: Computer Vision and Pattern Recognition, 2016Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Flávio Camargo Cabrera, Aldo Eloizo JobAbstract:Image segmentation, the process of separating the elements within an image, is frequently used for obtaining information from Photomicrographs. However, segmentation methods should be used with reservations: incorrect segmentation can mislead when interpreting regions of interest (ROI), thus decreasing the success rate of additional procedures. Multi-Level Starlet Segmentation (MLSS) and Multi-Level Starlet Optimal Segmentation (MLSOS) were developed to address the photomicrograph segmentation deficiency on general tools. These methods gave rise to Jansen-MIDAS, an open-source software which a scientist can use to obtain a multi-level threshold segmentation of his/hers Photomicrographs. This software is presented in two versions: a text-based version, for GNU Octave, and a graphical user interface (GUI) version, for MathWorks MATLAB. It can be used to process several types of images, becoming a reliable alternative to the scientist.
Aldo Eloizo Job - One of the best experts on this subject based on the ideXlab platform.
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Jansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets.
Microscopy research and technique, 2017Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Flávio Camargo Cabrera, Aldo Eloizo JobAbstract: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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Jansen-MIDAS: a multi-level photomicrograph segmentation software based on isotropic undecimated wavelets
arXiv: Computer Vision and Pattern Recognition, 2016Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Flávio Camargo Cabrera, Aldo Eloizo JobAbstract:Image segmentation, the process of separating the elements within an image, is frequently used for obtaining information from Photomicrographs. However, segmentation methods should be used with reservations: incorrect segmentation can mislead when interpreting regions of interest (ROI), thus decreasing the success rate of additional procedures. Multi-Level Starlet Segmentation (MLSS) and Multi-Level Starlet Optimal Segmentation (MLSOS) were developed to address the photomicrograph segmentation deficiency on general tools. These methods gave rise to Jansen-MIDAS, an open-source software which a scientist can use to obtain a multi-level threshold segmentation of his/hers Photomicrographs. This software is presented in two versions: a text-based version, for GNU Octave, and a graphical user interface (GUI) version, for MathWorks MATLAB. It can be used to process several types of images, becoming a reliable alternative to the scientist.
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An automatic method for segmentation of fission tracks in epidote crystal Photomicrographs
Computers & Geosciences, 2014Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Carlos Alberto Tello Sáenz, Aldo Eloizo JobAbstract:Abstract Manual identification of fission tracks has practical problems, such as variation due to observer–observation efficiency. An automatic processing method that could identify fission tracks in a photomicrograph could solve this problem and improve the speed of track counting. However, separation of nontrivial images is one of the most difficult tasks in image processing. Several commercial and free softwares are available, but these softwares are meant to be used in specific images. In this paper, an automatic method based on starlet wavelets is presented in order to separate fission tracks in mineral Photomicrographs. Automatization is obtained by the Matthews correlation coefficient, and results are evaluated by precision, recall and accuracy. This technique is an improvement of a method aimed at segmentation of scanning electron microscopy images. This method is applied in Photomicrographs of epidote phenocrystals, in which accuracy higher than 89% was obtained in fission track segmentation, even for difficult images. Algorithms corresponding to the proposed method are available for download. Using the method presented here, a user could easily determine fission tracks in Photomicrographs of mineral samples.
Wagner Massayuki Nakasuga - One of the best experts on this subject based on the ideXlab platform.
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Segmentation of nearly isotropic overlapped tracks in Photomicrographs using successive erosions as watershed markers.
Microscopy research and technique, 2019Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Sandro Guedes, Lothar RatschbacherAbstract:INTRODUCTION Procedures for measuring and counting tracks are time-consuming and involve practical problems. The precision of automatic counting methods is not satisfactory yet; the major challenges are distinguishing tracks and material defects, identifying small tracks and defects of similar size, and detecting overlapping tracks. MATERIALS AND METHODS Here, we address the overlapping tracks issue using the algorithm Watershed Using Successive Erosions as Markers (WUSEM), which combines the watershed transform, morphological erosions and labeling to separate regions in Photomicrographs. We tested this method in two data sets of diallyl phthalate (DAP) Photomicrographs and compared the results when counting manually and using the classic watershed and H-watershed transforms. RESULTS The mean automatic/manual efficiency counting ratio when using WUSEM in the test data sets is 0.97 ± 0.11. CONCLUSION WUSEM shows reliable results when used in Photomicrographs presenting almost isotropic objects. Also, diameter and eccentricity criteria may be used to increase the reliability of this method.
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Jansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets.
Microscopy research and technique, 2017Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Flávio Camargo Cabrera, Aldo Eloizo JobAbstract: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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Segmentation of nearly isotropic overlapped tracks in Photomicrographs using successive erosions as watershed markers
arXiv: Computer Vision and Pattern Recognition, 2017Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Sandro Guedes, Lothar RatschbacherAbstract:The major challenges of automatic track counting are distinguishing tracks and material defects, identifying small tracks and defects of similar size, and detecting overlapping tracks. Here we address the latter issue using WUSEM, an algorithm which combines the watershed transform, morphological erosions and labeling to separate regions in Photomicrographs. WUSEM shows reliable results when used in Photomicrographs presenting almost isotropic objects. We tested this method in two datasets of diallyl phthalate (DAP) Photomicrographs and compared the results when counting manually and using the classic watershed. The mean automatic/manual efficiency ratio when using WUSEM in the test datasets is 0.97 +/- 0.11.
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Jansen-MIDAS: a multi-level photomicrograph segmentation software based on isotropic undecimated wavelets
arXiv: Computer Vision and Pattern Recognition, 2016Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Flávio Camargo Cabrera, Aldo Eloizo JobAbstract:Image segmentation, the process of separating the elements within an image, is frequently used for obtaining information from Photomicrographs. However, segmentation methods should be used with reservations: incorrect segmentation can mislead when interpreting regions of interest (ROI), thus decreasing the success rate of additional procedures. Multi-Level Starlet Segmentation (MLSS) and Multi-Level Starlet Optimal Segmentation (MLSOS) were developed to address the photomicrograph segmentation deficiency on general tools. These methods gave rise to Jansen-MIDAS, an open-source software which a scientist can use to obtain a multi-level threshold segmentation of his/hers Photomicrographs. This software is presented in two versions: a text-based version, for GNU Octave, and a graphical user interface (GUI) version, for MathWorks MATLAB. It can be used to process several types of images, becoming a reliable alternative to the scientist.
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An automatic method for segmentation of fission tracks in epidote crystal Photomicrographs
Computers & Geosciences, 2014Co-Authors: Alexandre Fioravante De Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Carlos Alberto Tello Sáenz, Aldo Eloizo JobAbstract:Abstract Manual identification of fission tracks has practical problems, such as variation due to observer–observation efficiency. An automatic processing method that could identify fission tracks in a photomicrograph could solve this problem and improve the speed of track counting. However, separation of nontrivial images is one of the most difficult tasks in image processing. Several commercial and free softwares are available, but these softwares are meant to be used in specific images. In this paper, an automatic method based on starlet wavelets is presented in order to separate fission tracks in mineral Photomicrographs. Automatization is obtained by the Matthews correlation coefficient, and results are evaluated by precision, recall and accuracy. This technique is an improvement of a method aimed at segmentation of scanning electron microscopy images. This method is applied in Photomicrographs of epidote phenocrystals, in which accuracy higher than 89% was obtained in fission track segmentation, even for difficult images. Algorithms corresponding to the proposed method are available for download. Using the method presented here, a user could easily determine fission tracks in Photomicrographs of mineral samples.
Liang Zou - One of the best experts on this subject based on the ideXlab platform.
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Intelligent Estimation of Vitrinite Reflectance of Coal from Photomicrographs Based on Machine Learning
Energies, 2019Co-Authors: Hongdong Wang, Meng Lei, Yilin Chen, Jiang Jin, Liang ZouAbstract:The accurate measurement of vitrinite reflectance (especially for mean maximum vitrinite reflectance, MMVR) is an important issue in the fields of coal mining and processing. However, the application of MMVR has been somewhat hampered by the subjective and the time-consuming characteristic of manual measurements. Semi-automated methods that are oversimplified might affect the accuracy in measuring MMVR values. To address these concerns, we propose a novel MMVR measurement strategy based on machine learning (MMVRML). Considering the complex nature of coal, adaptive K-means clustering is firstly employed to automatically detect the number of clusters (i.e., maceral groups) in Photomicrographs. Furthermore, comprehensive features along with a support vector machine are utilized to intelligently identify the regions with vitrinite. The largest region with vitrinite in each photomicrograph is gridded for further regression analysis. Evaluations on 78 Photomicrographs show that the model based on random forest and 15 simplified grayscale features achieves the state-of-the-art root mean square error of 0.0424. In addition, to facilitate the usage of petrologists without strong expertise in the machine learning domain, we released the first non-commercial standalone software for estimating MMVR.
L Speedwell - One of the best experts on this subject based on the ideXlab platform.
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Fourier transform analysis of human corneal endothelial specular Photomicrographs.
Experimental eye research, 1997Co-Authors: Frederick W. Fitzke, Barry R. Masters, Roger J. Buckley, L SpeedwellAbstract:Fourier analysis of in vivo human corneal endothelial cell structure was investigated using specular Photomicrographs for a range of ages from less than one year to over 70. The theoretical basis for this analysis was investigated using mathematical models of cell structures where the elements determining their form could be modified in a controlled and quantified manner. The resulting Fourier transform properties were related to properties of cell structure. The experimental factors underlying this analysis were then studied using digitized images of corneal endothelial cells. It was found that the Fourier transforms provided quantitative descriptions of population cell size and organisation. For the smaller, more regular cell structure from the younger eyes, the expected larger rings of the Fourier transforms were demonstrated. Specular Photomicrographs of older eyes gave rise to smaller diameter rings in their Fourier transforms. These results are consistent with the previous studies which used manual tracings of human endothelial cell patterns. This is the first demonstration of the direct Fourier analysis of clinical human corneal specular Photomicrographs.
