Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures
Sign Up to like & getrecommendations! Published in 2017 at "Machine Vision and Applications"
DOI: 10.1007/s00138-017-0830-x
Abstract: The severity of sustained injury resulting from assault-related violence can be minimised by reducing detection time. However, it has been shown that human operators perform poorly at detecting events found in video footage when presented… read more here.
Keywords: using temporal; grey level; abnormal crowd; occurrence matrix ... See more keywords
3D gray level co-occurrence matrix and its application to identifying collapsed buildings
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2019.01.008
Abstract: Abstract With the remarkable progress in access to remote sensing imagery data, nowadays research very often utilizes more than one image. We are often able to use multitemporal, hyperspectral, and/or full polarization of microwave radar… read more here.
Keywords: texture; occurrence matrix; collapsed buildings; gray level ... See more keywords
Application of Gray Level co-Occurrence Matrix Algorithm for Detection of Discrete Structural Changes in Cell Nuclei After Exposure to Iron Oxide Nanoparticles and 6-Hydroxydopamine
Sign Up to like & getrecommendations! Published in 2019 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927619014594
Abstract: Abstract The gray level co-occurrence matrix (GLCM) algorithm is a contemporary computational biology method which, today, is frequently used to detect small changes in texture that are not visible using conventional techniques. We demonstrate that… read more here.
Keywords: occurrence matrix; iron oxide; gray level; oxide nanoparticles ... See more keywords
Spatial–Temporal Gray-Level Co-Occurrence Aware CNN for SAR Image Change Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3110302
Abstract: Deep learning-based synthetic aperture radar (SAR) image change detection has recently achieved remarkable success due to its great potential for extracting abstract features. However, the existing methods still have room for improvement in dealing with… read more here.
Keywords: spatial temporal; image; gray level; change detection ... See more keywords
Deep fusion of gray level co-occurrence matrices for lung nodule classification
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0274516
Abstract: Lung cancer is a serious threat to human health, with millions dying because of its late diagnosis. The computerized tomography (CT) scan of the chest is an efficient method for early detection and classification of… read more here.
Keywords: deep fusion; fusion; classification; lung ... See more keywords
Application of Fractal and Gray-Level Co-Occurrence Matrix Indices to Assess the Forest Dynamics in the Curvature Carpathians—Romania
Sign Up to like & getrecommendations! Published in 2019 at "Sustainability"
DOI: 10.3390/su11246927
Abstract: The mountain ecosystems face significant damage from deforestation and environmental forest changes. We investigated the evolution of tree types of cover areas, deforested areas and total deforested areas from Curvature Carpathians using Gray-Level Co-occurrence Matrix… read more here.
Keywords: occurrence matrix; gray level; level occurrence; level ... See more keywords