Results 21 to 30 of about 1,193 (111)
Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis
International Journal of Cognitive Computing in Engineering, 2021 Background: Chest CT is considered to be a more accurate method for diagnosing suspected patients. However, with the spread of the epidemic, traditional diagnostic methods have been unable to meet the requirements of efficiency and speed.
Pengpeng Pi, Dimas Lima
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The Measurement of Bone Quality Using Gray Level Co-Occurrence Matrix Textural Features [PDF]
Journal of Medical Imaging and Health Informatics, 2016 In this paper, statistical methods for the estimation of bone quality to predict the risk of fracture are reported. Bone mineral density and bone architecture properties are the main contributors of bone quality. Dual-energy X-ray Absorptiometry (DXA) is the traditional clinical measurement technique for bone mineral density, but does not include ...
Mukul, Shirvaikar +2 more
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JOIV: International Journal on Informatics Visualization, 2022 Songket is a woven fabric created by prying the threads and adding more weft to create an embossed decorative pattern on a cotton or silk thread woven background.
Sudi Mariyanto Al Sasongko +2 more
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Roughness Analysis of Sea Surface From Visible Images by Texture
IEEE Access, 2020 This paper presents a roughness analysis of sea surface from visible images by feature measurements of texture for the first time. The algorithms presented in this paper include six texture feature measurements of sea surface use gray level co-occurrence
Hailang Pan +5 more
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Comparing PlanetScope and Sentinel-2 Imagery for Mapping Mountain Pines in the Sarntal Alps, Italy
Remote Sensing, 2022 The mountain pine (Pinus mugo ssp. Mugo Turra) is an important component of the alpine treeline ecotone and fulfills numerous ecosystem functions.
Moritz Rösch +3 more
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Computation of gray-level co-occurrence matrix based on CUDA and its optimization
CoRR, 2017 As in various fields like scientific research and industrial application, the computation time optimization is becoming a task that is of increasing importance because of its highly parallel architecture. The graphics processing unit is regarded as a powerful engine for application programs that demand fairly high computation capabilities.
Huichao Hong, Lixin Zheng, Shuwan Pan
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The Implementation of GLCM and ANN Methods to Identify Dragon Fruit Maturity Level
Ilkom Jurnal Ilmiah, 2023 The identification of the maturity level of dragon fruit in this study was divided into two groups of ripeness: the unripe and the ripe. This study aims to classify the maturity level based on dragon fruit images using the feature extraction method, the ...
Muhammad Faisal +2 more
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Gray level co-occurrence matrix in polar orientation
, 2018 Classification of gray images based on their textural features is one of the main tools in medical image processing. Gray Level Co-occurrence Matrix (GLCM) is such a widely used technique which represents how frequently the different gray level combinations occur in an image, traditionally in Cartesian directions.
Bandara, Muditha S, Wansapura, Janaka
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Implementasi Metode Gray Level Co-occurrence Matrix dalam Identifikasi Jenis Daun Tengkawang
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018 Tengkawang or known as Borneo tallow nut is now difficult to find due to unsustainable forestry practices and high levels of forest destruction. The method used in this research was pattern recognition.
Rahmat Robi Waliyansyah +2 more
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Cardiac Arrhythmia Classification Based on One-Dimensional Morphological Features
Applied Sciences, 2021 The electrocardiogram (ECG) is the most commonly used tool for diagnosing cardiovascular diseases. Recently, there have been a number of attempts to classify cardiac arrhythmias using machine learning and deep learning techniques.
Heechang Lee +6 more
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