A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm. [PDF]
Sensors (Basel), 2017 To address the problem of image texture feature extraction, a direction measure statistic that is based on the directionality of image texture is constructed, and a new method of texture feature extraction, which is based on the direction measure and a ...
Zhang X, Cui J, Wang W, Lin C.
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3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography. [PDF]
IEEE Trans Med Imaging, 2020 Accurately classifying colorectal polyps, or differentiating malignant from benign ones, has a significant clinical impact on early detection and identifying optimal treatment of colorectal cancer.
Tan J +9 more
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Gray level co-occurrence matrix and Schmitt neural network for Covid-19 diagnosis [PDF]
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: When COVID-19 spreads to most of the world, chest CT imaging is widely regarded as a convenient and feasible method for the diagnosis of suspected patients. In the traditional diagnosis method, doctors and experts judge these CT images and
Pengpeng Pi
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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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Intrusion Detection Based on Gray-Level Co-Occurrence Matrix and 2D Dispersion Entropy [PDF]
Applied Sciences, 2021 The Intrusion Detection System (IDS) is an important tool to mitigate cybersecurity threats in an Information and Communication Technology (ICT) infrastructure.
Gianmarco Baldini +2 more
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Pengenalan Ras Berdasarkan Hidung Dan Mulut Menggunakan Gray Level Co-Occurrence Matrix [PDF]
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Ras dapat digunakan untuk mengkategorikan manusia dalam populasi atau kelompok besar. Oleh karena itu, pengenalan ras dapat berguna untuk mempermudah dalam mengidentifikasi seseorang dan membantu dalam mempersempit lingkup pencarian.
Ema Rachmawati +2 more
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Machine Learning-Based Gray-Level Co-Occurrence Matrix (GLCM) Models for Predicting the Depth of Myometrial Invasion in Patients with Stage I Endometrial Cancer [PDF]
Cancer Management and Research, 2022 Li Qin,1 Lin Lai,2 Hongli Wang,3 Yukun Zhang,2 Xiaoyuan Qian4 *, Du He2 𪇞partment of Obstetrics and Gynecology, the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, 445000, People’s Republic of China; 2Department
Qin L +5 more
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Improving electrical resistivity tomography interpretation with Gray Level Co-Occurrence Matrix textural attributes [PDF]
Scientific ReportsElectrical resistivity tomography (ERT) provides valuable subsurface structural information but often relies on inverted resistivity thresholds for interpretation. Inversion inherently produces smooth boundaries that can lead to interpretation ambiguity,
John McKnight +2 more
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Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis
International Journal of Cognitive Computing in Engineering, 2021 Alzheimer's disease (AD) is a chronic neurodegenerative disease, which is one of the biggest challenges in geriatrics. The global incidence of Alzheimer's disease has been on the rise all the time.
Shuangshuang Gao
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A Multichannel Gray Level Co-Occurrence Matrix for Multi/Hyperspectral Image Texture Representation
Remote Sensing, 2014 This study proposes a novel method for multichannel image gray level co-occurrence matrix (GLCM) texture representation. It is well known that the standard procedure for the automatic extraction of GLCM textures is based on a mono-spectral image.
Xin Huang, Xiaobo Liu, Liangpei Zhang
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