4.7 Article

Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C plus plus and R

Marvin N. Wright et al.

JOURNAL OF STATISTICAL SOFTWARE (2017)

Article Computer Science, Interdisciplinary Applications

Computational methods for the image segmentation of pigmented skin lesions: A review

Roberta B. Oliveira et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Article Computer Science, Artificial Intelligence

A review of computational methods applied for identification and quantification of atherosclerotic plaques in images

Danilo Samuel Jodas et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Metallurgy & Metallurgical Engineering

Microstructure Detection by Advanced Image Processing

Motoki Taguchi et al.

TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN (2016)

Article Materials Science, Multidisciplinary

A computer vision approach for automated analysis and classification of microstructural image data

Brian L. DeCost et al.

COMPUTATIONAL MATERIALS SCIENCE (2015)

Article Microscopy

Machine learning as a tool for classifying electron tomographic reconstructions

Lech Staniewicz et al.

ADVANCED STRUCTURAL AND CHEMICAL IMAGING (2015)

Article Computer Science, Artificial Intelligence

Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials

Joao P. Papa et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

Article Biochemical Research Methods

Fiji: an open-source platform for biological-image analysis

Johannes Schindelin et al.

NATURE METHODS (2012)

Article Biochemical Research Methods

NIH Image to ImageJ: 25 years of image analysis

Caroline A. Schneider et al.

NATURE METHODS (2012)

Article Engineering, Chemical

Determination of steel quality based on discriminating textural feature selection

Daeyoun Kim et al.

CHEMICAL ENGINEERING SCIENCE (2011)

Article Radiology, Nuclear Medicine & Medical Imaging

X-ray Image Classification Using Random Forests with Local Wavelet-Based CS-Local Binary Patterns

Byoung Chul Ko et al.

JOURNAL OF DIGITAL IMAGING (2011)

Article Anatomy & Morphology

Automatic Evaluation of Nickel Alloy Secondary Phases from SEM Images

Victor Hugo C. de Albuquerque et al.

MICROSCOPY RESEARCH AND TECHNIQUE (2011)

Article Nanoscience & Nanotechnology

Influence of martensite volume fraction on tensile properties of triple phase ferrite-bainite-martensite steels

Ahmad Zare et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2011)

Review Computer Science, Interdisciplinary Applications

A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

Zhen Ma et al.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING (2010)

Article Microscopy

New computational solution to quantify synthetic material porosity from optical microscopic images

V. H. C. De Albuquerque et al.

JOURNAL OF MICROSCOPY (2010)

Article Biochemical Research Methods

Globally optimal stitching of tiled 3D microscopic image acquisitions

Stephan Preibisch et al.

BIOINFORMATICS (2009)

Article Materials Science, Multidisciplinary

Multiscale description of the inhomogeneity of multiphase materials

Jerzy Chmiela et al.

MATERIALS CHARACTERIZATION (2009)

Article Materials Science, Characterization & Testing

Evaluation of multilayer perceptron and self-organizing map neural network topologies applied on microstructure segmentation from metallographic images

Victor Hugo C. de Albuquerque et al.

NDT & E INTERNATIONAL (2009)

Article Nanoscience & Nanotechnology

Influence of bainite/martensite-content on the tensile properties of low carbon dual-phase steels

A. Kumar et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2008)

Article Biochemical Research Methods

ImageJ for microscopy

Tony J. Collins

BIOTECHNIQUES (2007)

Article Computer Science, Interdisciplinary Applications

Grain boundary detection in microstructure images using computational intelligence

O Dengiz et al.

COMPUTERS IN INDUSTRY (2005)

Article Nanoscience & Nanotechnology

Microstructure control and wear resistance of grain boundary allotriomorphic ferrite/granular bainite duplex steel

PG Xu et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2004)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Materials Science, Multidisciplinary

Automatic recognition of complex microstructures using the Image Classifier

J Komenda

MATERIALS CHARACTERIZATION (2001)