Texture analysis using gray level run lengths

By M. Galloway. 1974

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Citations in the corpus

Pattern recognition (1974, neutral): “• In our mapping, we consider a set of run-lengths and extract its attributes: #, M and m, not handled in [25] .”
Applications and limitations of radiomics (2016, methodology): “…textures extracted from wavelet and Laplacian of Gaussian (LoG) filtered images, and fractal features, can be extracted from the medical images (Haralick et al 1973, Galloway 1975, Pentland 1984, Amadasun and King 1989, Davnall et al 2012, Thibault et al 2013, Aerts et al 2014, Rahmim et al 2016).”
IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics. (2015, methodology): “In the feature “GrayLevelRunLengthMatrix25,” 35,36 the RLM is computed in 2D.”
Machine Learning methods for Quantitative Radiomic Biomarkers (2015, background): “Textural features, derived from the gray level co-occurrence (GLCM) 21 and run length matrices (GLRLM) 22 , quantified the intra-tumor heterogeneity.”
Application of Hyperspectral Imaging to Discriminate the Variety of Maize Seeds (2015, methodology): “Gray-level run-length matrix analysis (GLRLM) is a texture analysis technique, which is based on the analysis of higherorder statistical information (Galloway 1975).”
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer (2015, methodology): “We used 440 radiomic features describing the first order intensity statistics, texture (34, 35), and shape of the three-dimensional tumor region on CT images.”
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation (2014, methodology): “Textural features describing patterns or spatial distribution of voxel intensities, were calculated from gray level co-occurrence (GLCM) [29] and gray level run-length (GLRLM) matrices respectively [30].”
QIN “Radiomics: The Process and the Challenges” (2012, methodology): “Furthermore, gray level run length features, derived from run length matrices and using run length metrics as proposed by Galloway [66], can be extracted.”