Results 11 to 20 of about 208,499 (277)

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

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   +3 more sources

THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES. [PDF]

open access: yesJ 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

Implementasi Metode Gray Level Co-occurrence Matrix dalam Identifikasi Jenis Daun Tengkawang

open access: yesJurnal 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
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

Identification of Anthracnose Disease in Mango Plant Using Clustering and Gray level Co- occurrence Matrix [PDF]

open access: yesITM Web of Conferences, 2020
The aim of this paper is to help farmers to identify disease without observing each and every mango plant by eyes. Farmers can use the pesticides according to the leaf disease identified.
Gawand Mamata   +4 more
doaj   +1 more source

3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography. [PDF]

open access: yesIEEE Trans Med Imaging, 2020
Tan J   +9 more
europepmc   +2 more sources

Ekstraksi Fitur Tekstur dan Warna pada Kulit Katak Menggunakan GLCM dan Momen Warna

open access: yesJurnal 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
doaj   +1 more source

Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix

open access: yesIlkom 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
doaj   +1 more source

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