Results 51 to 60 of about 220,110 (307)

Gray-level Co-Occurrence Matrix application to Images Processing of crushed Olives fruits.

Inteligencia Artificial, 2020
This paper shows the results obtained from images processing digitized, taken with a 'smartphone', of 56 samples of crushed olives, using the methodology of the gray-level co-occurrence matrix (GLCM).
Antonio Jiménez Márquez, Gabriel Beltrán Maza   +1 more
doaj   +1 more source

Identifying Wood Based on Near-Infrared Spectra and Four Gray-Level Co-Occurrence Matrix Texture Features

Forests, 2021
Identifying wood accurately and rapidly is one of the best ways to prevent wood product fakes and adulterants in forestry products. Wood identification traditionally relies heavily on special experts that spend extensive time in the laboratory.
Xi Pan, Kang Li, Zhang-jing Chen, Zhong Yang   +3 more
semanticscholar   +1 more source

Gray level co-occurrence matrix in polar orientation

, 2018
Classification of gray images based on their textural features is one of the main tools in medical image processing. Gray Level Co-occurrence Matrix (GLCM) is such a widely used technique which represents how frequently the different gray level combinations occur in an image, traditionally in Cartesian directions.
Bandara, Muditha S, Wansapura, Janaka
openaire   +1 more source

Meat Texture Image Classification Using the Haar Wavelet Approach and a Gray-Level Co-Occurrence Matrix

Applied System Innovation
This research aims to examine the use of image processing and texture analysis to find a more reliable and efficient solution for identifying and classifying types of meat, based on their texture.
K. Kiswanto, H. Hadiyanto, Eko Sediyono
semanticscholar   +1 more source

The combination of gray level co-occurrence matrix and back propagation neural network for classifying stairs descent and floor

ICT express, 2021
Smart wheelchairs (SW) technology is one of the solutions to help disabled people who do not have a hand or people to help them. Apart from able to move on its own, a smart wheelchair needs to be safe to use.
Fitri Utaminingrum, Syam Julio A. Sarosa, Corina Karim, F. Gapsari, Randy Cahya Wihandika   +4 more
semanticscholar   +1 more source

Correlations between B-mode ultrasound image texture features and tissue temperatures in hyperthermia

PLoS ONE, 2022
Purpose The noninvasive monitoring of mild hyperthermia or thermal ablation is important to guarantee therapeutic safety and efficacy. The potential of ultrasound B-mode image texture features in monitoring temperature or coagulation zones studied in ...
Xuelin Wang, Lei Sheng
doaj   +2 more sources

Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors

The Turkish Journal of Gastroenterology
Background/Aims: Gastrointestinal stromal tumors are common gastric mesenchymal tumors that are potentially malignant. However, endoscopic ultrasonography is poor in diagnosing gastrointestinal stromal tumors.
Chengqian Lv, Hongliang Chen, Ping Huang, Yongfang Chen, Bingrong Liu   +4 more
doaj   +1 more source

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

Applied 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, Zhenyu Zhang, Lu Wang, Qiang Wang   +3 more
doaj   +1 more source

Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network [PDF]

, 2018
Image are objects that have many information. Gray Level Co-occurrence Matrix is one of many ways to extract information from image objects. Wherein, the extracted informations can be processed again using different methods, Gray Level Co-occurrence ...
Prakarsah, Cendy, Widhiarso, Wijang, Yohannes, Yohannes   +2 more
core   +2 more sources

Monitoring Progression of Amyotrophic Lateral Sclerosis Using Ultrasound Morpho-Textural Muscle Biomarkers: A Pilot Study. [PDF]

, 2018
The need is increasing for progression biomarkers that allow the loss of motor neurons in amyotrophic lateral sclerosis (ALS) to be monitored in clinical trials.
Martínez Payá, Jacinto Javier
core   +2 more sources