Results 101 to 110 of about 17,818 (183)

Panels a through c: Aggregated distributions of GLCM texture features Entropy, Homogeneity, and GLCM variance.

, 2018
GLCM texture features were calculated using search distance d = 5, reference angle θ = 0°, and window size 9 m2. Panels d through f: linear least-squares classification data for model calibration.
Joseph M. Wheaton (400702), Daniel Buscombe (4962529), Daniel Hamill (4962526)   +2 more
core   +1 more source

Implementasi Gray Level Co-Occurrence Matrix (GLCM) untuk Mendeteksi Penyakit Daun pada Tanaman Holtikultura [PDF]

: Early detection of horticultural plant diseases is crucial for improving agricultural productivity. This study implements the Gray Level Co-Occurrence Matrix (GLCM) as a texture feature extraction method to detect leaf diseases in horticultural plants.
Sulistianingsih, Nani, Juniarta, Muhammad Pandawan, Arrahman, Muhammad Hafidz Haditya   +2 more
core   +1 more source

Texture recognition by using GLCM and various aggregation functions

, 2008
We discuss the problem of texture recognition based on the grey level co-occurrence matrix (GLCM). We performed a number of numerical experiments to establish whether the accuracy of classification is optimal when GLCM entries are aggregated into ...
Simon James (13094904), Gleb Beliakov (13071387), L Troiano (13292031)   +2 more
core  

Support Vector Machine and Multilayer Perceptron Optimization for Banana Leaf Disease Classification Using Hue Saturation Value and Gray Level Co-occurrence Matrix

Journal of Applied Informatics and Computing
Banana leaf disease poses a significant threat to the quality and productivity of banana plants. Conventional disease identification relies heavily on expert knowledge and is time-consuming, highlighting the need for an automated and efficient solution ...
Haris Pujianto, Christy Atika Sari, Musab Iqtait   +2 more
doaj   +1 more source

Lithostratigraphic Classification Method Combining Optimal Texture Window Size Selection and Test Sample Purification Using Landsat 8 OLI Data

Open Geosciences, 2018
Gray Level Co-Occurrence Matrix (GLCM), as a measure of spatial features has been used as supplemental information to improve image classification accuracy for lithological recognition.
Qiu Yufang, Ming Dongping
doaj   +1 more source

Genetic algorithm optimization of adaptive multi-scale GLCM features

, 2003
We introduce a new second-order method of texture analysis called Adaptive Multi-Scale Grey Level Co-occurrence Matrix (AMSGLCM), based on the well-known Grey Level Co-occurrence Matrix (GLCM) method.
Longstaff, Dennis, Jackway, Paul T., Walker, Ross   +2 more
core   +1 more source

Identifikasi Tanda Tangan dengan Ekstraksi Ciri GLCM dan LBP

, 2018
Identifikasi tanda tangan menggunakan ekstraksi fitur GLCM (The Grey Level Co-occurrence Matrix) dan LBP (The Local Binary Pattern) dengan membandingkan hasil akurasi keduanya.
Pristanti, Yuliana Diah
core  

Identifikasi Motif Batik Menggunakan Metode Glcm Dan Naive Bayes Classifier

, 2020
Identifikasi Motif Batik Menggunakan Metode GLCM Dan Naïve Bayes Classifier (Identification Batik Motive Using Method GLCM and Naïve Bayes Classifier).
Aprian, Rangga Akhir
core  

Leaf Classification Based on GLCM Texture and SVM [PDF]

, 2018
This paper involves classification of leaves using GLCM (Gray Level Co-occurrence matrix) texture and SVM (Support Vector Machines). GLCM is used for extracting texture feature of leaves.
, Vidyashanakara, Naveena M, G Hemnatha Kumar
core  

Word-wise South Indian Script Identification using GLCM and Radon Features [PDF]

, 2018
This paper presents a hybrid features for identification of south Indian scripts in word-wise and it has used three classifiers. We have used two kinds of features namely Radon and Gray Level Co-occurrence Matrix (GLCM) and combination of Radon and GLCM ...
, Shivanand S. Rumma
core