Results 1 to 10 of about 1,193 (111)

A Multichannel Gray Level Co-Occurrence Matrix for Multi/Hyperspectral Image Texture Representation [PDF]

open access: yesRemote 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
doaj   +4 more sources

Intrusion Detection Based on Gray-Level Co-Occurrence Matrix and 2D Dispersion Entropy [PDF]

open access: yesApplied 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
doaj   +3 more sources

Gray level co-occurrence matrix and Schmitt neural network for Covid-19 diagnosis [PDF]

open access: yesEAI 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
doaj   +2 more sources

Identification of Human Ovarian Adenocarcinoma Cells with Cisplatin-Resistance by Feature Extraction of Gray Level Co-Occurrence Matrix Using Optical Images

open access: yesDiagnostics, 2020
Ovarian cancer is the most malignant of all gynecological cancers. A challenge that deteriorates with ovarian adenocarcinoma in neoplastic disease patients has been associated with the chemoresistance of cancer cells.
Chih-Ling Huang   +4 more
doaj   +3 more sources

Identification of Bamboo Species Based on Leaf Texture using Gray Level Co-Occurrence Matrix and Gray Level Run Length Matrix

open access: yesJurnal Teknologi dan Sistem Komputer, 2018
Bamboo species can be identified from the bamboo leaf images. This study conducted the identification of bamboo species based on leaf texture using Gray Level Co-occurrence Matrix (GLCM) and Gray Level Run Length Matrix (GLRLM) for texture feature ...
Endina Putri Purwandari   +2 more
doaj   +2 more sources

Evaluation of Gasket Surface Contact Stress Uniformity Based on Gray-Level Co-Occurrence Matrix

open access: yesApplied Sciences, 2022
Due to the high demand for compression recovery tests of metal gaskets, it is difficult to provide and evaluate uniform stress on metal gaskets. To effectively evaluate the uniformity of surface stress on a metal gasket, we propose a method of evaluating
Jiayan Chen   +3 more
doaj   +3 more sources

Perbandingan Algoritma Decision Tree C4.5 Dan Naive Bayes pada Analisa Tekstur Gray Level Co-Occurrence Matrix Menggunakan Citra Wajah

open access: yesSistemasi: Jurnal Sistem Informasi, 2021
Abstrak Analisis tekstur lazim dimanfaatkan sebagai proses untuk melakukan klasifikasi dan interpretasi citra. Suatu proses klasifikasi citra berbasis analisa tekstur pada umumnya membutuhkan tahapan ekstraksi ciri, yang terdiri dari tiga macam metode ...
Hamdun Sulaiman
doaj   +1 more source

Method for detecting texture defect of vacuum seal of transparent packaging bag based on machine vision

open access: yesShipin yu jixie, 2023
Objective: To solve the problems caused by the manual sampling inspection in the field of food packaging, such as difficult to operate continuously for a long time, easy to miss and wrong detection, and unreliable detection accuracy and stability ...
ZHANG Bao-sheng   +2 more
doaj   +1 more source

Gray-Level Co-occurrence Matrix Bone Fracture Detection [PDF]

open access: yesAmerican Journal of Applied Sciences, 2011
Problem statement: Currently doctors in orthopedic wards inspect the bone x-ray images according to their experience and knowledge in bone fracture analysis. Manual examination of x-rays has multitude drawbacks. The process is time-consuming and subjective.
Hum, Yan Chai   +5 more
openaire   +2 more sources

Pengenalan Ras Berdasarkan Hidung Dan Mulut Menggunakan Gray Level Co-Occurrence Matrix

open access: yesJurnal 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
doaj   +1 more source

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