Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network [PDF]
, 2018 Image are objects that have many information. Gray Level Co-occurrence Matrix is one of many ways to extract information from image objects. Wherein, the extracted informations can be processed again using different methods, Gray Level Co-occurrence ...
Widhiarso, Wijang +5 more
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Human identification using palm print images based on combined local binary pattern and gray level co-occurrence matrix [PDF]
, 2020 In this thesis, for the complete extraction of useful features from an appearance, a simple but powerful method an uniform local binary pattern to identification of palms are expressed because this method can pull out all the useful information of an ...
Tayeb, Aysha Ahmed Otman
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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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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
openaire +2 more sources
, 2022 Correlation coefficients (Average-Value ± Std) between 12 texture parameters of gray level-gradient co-occurrence matrix of tissue ultrasound B-mode images with different temperature.
Xuelin Wang (527015), Lei Sheng (280500)
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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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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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Grinding surface roughness measurement based on the co-occurrence matrix of speckle pattern texture [PDF]
, 2006 Surface speckle pattern intensity distribution resulting from laser light scattering from a rough surface contains various information about the surface geometrical and physical properties.A surface roughness measurement technique based on the texture ...
Gledhill, Duke +5 more
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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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