Learning-based defect recognition for quasi-periodic HRSTEM images

Automated Detection of Helium Bubbles in Irradiated X-750

(2020) Chris M. Anderson et al.   ULTRAMICROSCOPY

An intelligent machine vision system for detecting surface defects on packing boxes based on support vector machine

(2019) Yu Wu et al.   MEASUREMENT & CONTROL

Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels

(2019) Graham Roberts et al.   Scientific Reports

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

(2019) Teja Kattenborn et al.   Scientific Reports

Automatic microscopic image analysis by moving window local Fourier Transform and Machine Learning

(2019) Benedykt R. Jany et al.   MICRON

Automated defect analysis in electron microscopic images

(2018) Wei Li et al.   npj Computational Materials

StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images

(2016) A. De Backer et al.   ULTRAMICROSCOPY

Electron dose dependence of signal-to-noise ratio, atom contrast and resolution in transmission electron microscope images

(2014) Z. Lee et al.   ULTRAMICROSCOPY

Replica inference approach to unsupervised multiscale image segmentation

(2012) Dandan Hu et al.   PHYSICAL REVIEW E

Detection of hidden structures for arbitrary scales in complex physical systems

(2012) P. Ronhovde et al.   Scientific Reports

Automated fabric defect detection—A review

(2011) Henry Y.T. Ngan et al.   IMAGE AND VISION COMPUTING

Imaging of radiation-sensitive samples in transmission electron microscopes equipped with Zernike phase plates

(2007) Marek Malac et al.   ULTRAMICROSCOPY