Results 131 to 140 of about 15,845 (235)

PENERAPAN GRAY LEVEL CO-OCCURANCE MATRIX (GLCM) UNTUK KLASIFIKASI PENYAKIT GLAUKOMA MENGGUNAKAN PROBABILISTIK NEURAL NETWORK (PNN) [PDF]

, 2019
Glaukoma merupakan salah satu penyakit mata yang menyebabkan kebutaan terbesar kedua didunia. Penyakit glaukoma ini disebabkan karena produksi cairan mata bertambah oleh badan siliar dan pengeluaran cairan mata berkurang didaerah celah pupil dan sudut ...
NOPIKRA, 11451104836
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Leaf Classification Based on GLCM Texture and SVM

, 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
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Klasifikasi rempah rimpang berdasarkan ciri warna rgb dan tekstur glcm menggunakan algoritma naive bayes

, 2020
Abstrak. Pada penelitian ini akan membahas bagaimana cara mengklasifikasikan beberapa jenis rempah berdasarkan algoritma Naïve Bayes dengan menggunakan ekstraksi ciri warna RGB dan tekstur GLCM.
Widiyanto, Didit, Batubara, Nadya P., Chamidah, Nurul   +2 more
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Klasifikasi Pneumonia Menggunakan Metode LBP-GLCM Dan Naive Bayes [PDF]

This study evaluates the effectiveness of the Local Binary Pattern (LBP) - Gray Level Co-occurrence Matrix (GLCM) feature extraction method as well as the Naive Bayes classification algorithm to identify lung X-Ray images that indicate pneumonia.
Ariansyah, Fery Almas
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Characterization Of Structural Building Damage In Post-Disaster Using GLCM-PCA Analysis Integration (sertifikat hak cipta)

Understanding the characteristics of a building after a natural disaster can be achieved using image analysis techniques. Among these techniques are the Gray-Level Co-occurrence Matrix (GLCM) and Principal Component Analysis (PCA). In the GLCM process,
Almais, Agung Teguh Wibowo, Melani, Roro Inda, Kusumawati, Ririen, Crysdian, Cahyo   +3 more
core   +1 more source

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

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

: 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
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Analisis Keseluruhan Sudut Co-Occurrence Matrix pada GLCM dalam Mengklasifikasi Citra

, 2018
Gray level co-occurrence matrix atau GLCM, merupakan suatu metode untuk mendapatkan fitur dari suatu citra secara tekstural. Pada penelitian sebelumnya mengenai GLCM, hanya menggunakan 4 arah derajat 0, 45, 90 dan 135 dalam menghitung fitur yang ...
Simanjuntak, Taufik Ismail
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A New Feature Set for Texture-Based Classification of Remotely Sensed Images in a Quantum Framework. [PDF]

J Imaging
Pai AG, Chhapariya K, Buddhiraju KM, Durbha SS.   +3 more
europepmc   +1 more source

Magnetic resonance texture alterations in the caudate nucleus following 18 weeks of clozapine treatment in patients with treatment-resistant schizophrenia. [PDF]

Transl Psychiatry
Jo W, Moon SY, Sim H, Park I, Kwon MJ, Kim S, Jung WH, Kim KW, Kim E.   +8 more
europepmc   +1 more source