Results 31 to 40 of about 208,499 (277)
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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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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Ekstrak Ciri Komunikasi Nonverbal Menggunakan Gray Level Co-Occurrence Matrix
I N F O R M A T I K A, 2020 Komunikasi mengandung dua dimensi verbal dan non verbal. Perilaku komunikasi non verbal dievaluasi menggunakan perhitungan ekstrak ciri Gray Level Co-Occurrence Matrix (GLCM). Video pelamar diekstrak untuk mengambil gestur mata, gestur mulut dan gestur kepala.
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Gray Level Co-Occurrence Matrix and RVFL for Covid-19 Diagnosis
EAI Endorsed Transactions on e-Learning, 2023 As the widespread transmission of COVID-19 has continued to influence human health since late 2019, more intersections between artificial intelligence and the medical field have arisen. For CT images, manual differentiation between COVID-19-infected and healthy control images is not as effective and fast as AI.
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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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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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Gray-level Co-Occurrence Matrix application to Images Processing of crushed Olives fruits.
Inteligencia Artificial, 2020 This paper shows the results obtained from images processing digitized, taken with a 'smartphone', of 56 samples of crushed olives, using the methodology of the gray-level co-occurrence matrix (GLCM).
Antonio Jiménez Márquez +1 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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PLoS ONE, 2022 Purpose The noninvasive monitoring of mild hyperthermia or thermal ablation is important to guarantee therapeutic safety and efficacy. The potential of ultrasound B-mode image texture features in monitoring temperature or coagulation zones studied in ...
Xuelin Wang, Lei Sheng
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The Turkish Journal of GastroenterologyBackground/Aims: Gastrointestinal stromal tumors are common gastric mesenchymal tumors that are potentially malignant. However, endoscopic ultrasonography is poor in diagnosing gastrointestinal stromal tumors.
Chengqian Lv +4 more
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