Ekstraksi Fitur Tekstur dan Warna pada Kulit Katak Menggunakan GLCM dan Momen Warna
Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2022 Anura is an order in the Amphibian class consisting of frogs and toads. Anura is very important in the ecosystem, especially its role as part of the food chain. Anura's main role is to maintain the balance of the ecosystem and as a bioindicator agent for
Atika Kurniasari +2 more
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THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES. [PDF]
J Med Imaging Health Inform, 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 ...
Shirvaikar M, Huang N, Dong XN.
europepmc +4 more sources
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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Quantitative Analysis of Melanosis Coli Colonic Mucosa Using Textural Patterns
Applied Sciences, 2020 Melanosis coli (MC) is a disease related to long-term use of anthranoid laxative agents. Patients with clinical constipation or obesity are more likely to use these drugs for long periods.
Chung-Ming Lo +4 more
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Identification of beef and pork using gray level co-occurrence matrix and probabilistic neural network [PDF]
, 2021 Objective: Identify images of beef and pork using texture feature extraction Gray Level Co-Occurrence Matrix and Probabilistic Neural Network classification algorithm.Design/method/approach: Apply texture feature extraction to Gray Level Co-Occurrence ...
Rustamaji, Heru Cahya +2 more
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ANALISIS TEKSTUR PADA CITRA IRIS MATA MENGGUNAKAN ALGORITMA GRAY LEVEL CO-OCCURENCY MATRIX
Pilar Nusa Mandiri, 2019 According to data from the ministry of health, with the high intensity of use the gadget nowadays, therefore the number of people with eye disease is increasing.
Asti Herliana, Toni Arifin
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Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix
Ilkom Jurnal Ilmiah, 2020 Tangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are ...
Rahmat Karim Haba +1 more
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Identifikasi Kematangan Buah Apel Dengan Gray Level Co-Occurrence Matrix (GLCM)
Jurnal Saintekom, 2017 Digital image processing is part of the technological developments in the concepts and reasoning, the human wants the machine (computer) can recognize images like human vision.
Maura Widyaningsih
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Chinese fingerspelling recognition via gray-level co-occurrence matrix and fuzzy support vector machine [PDF]
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: Chinese deaf-mutes communicate in their native language, Chinese sign language which contains gesture language and finger language.
Yalan Gao +3 more
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Mine flood perception based on gray level co-occurrence matrix and regression analysis
Gong-kuang zidonghua, 2020 Aiming at problems of low recognition rate and poor stability and timeliness when image recognition was used in mine flood perception, a mine flood perception method based on gray level co-occurrence matrix and regression analysis was proposed.
CAO Yuchao
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