Results 211 to 220 of about 36,113 (246)

Smoke detection using GLCM, wavelet, and motion

SPIE Proceedings, 2014
This paper presents a supervised smoke detection method that uses local and global features. This framework integrates and extends notions of many previous works to generate a new comprehensive method. First chrominance detection is used to screen areas that are suspected to be smoke. For these areas, local features are then extracted. The features are
Teerasak Srisuwan, Miti Ruchanurucks
openaire   +1 more source

Classification of Chili Leaf Disease Using the Gray Level Co-occurrence Matrix (GLCM) and the Support Vector Machine (SVM) Methods

International Conference on Intelligent Computing, 2021
Chili is a type of vegetable that has a very high economic value. The problem that often occurs in chili plants is that many agricultural losses are caused by disease.
Y. Sari, A. Baskara, Rika Wahyuni
semanticscholar   +1 more source

GLCM texture classification for EEG spectrogram image

2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2010
Over the past century, time based and frequency based is used for analyzing Electroencephalography (EEG) signals. EEG is a scientific tool for measure signal from human brain. This paper proposes a time-frequency approach or spectrogram image processing technique for analyzing EEG signals.
Mahfuzah Mustafa, null Mohd Nasir Taib, Zunairah Hj. Murat, null Noor Hayatee Abdul Hamid   +3 more
openaire   +1 more source

Fast GLCM-based Intra Block Partition for VVC

2021 Data Compression Conference (DCC), 2021
In the latest video coding standard, Versatile Video Coding (H.266/VVC), a new quadtree with nested multi-type tree (QTMTT) coding block structure is proposed. QTMTT significantly improves coding performance, but more complex block partitioning structure brings greater computational burden.
Huanchen Zhang, Li Yu, Tiansong Li, Hongkui Wang   +3 more
openaire   +1 more source

Face Mask Recognition with Realistic Fabric Face Mask Data Set: A Combination Using Surface Curvature and GLCM

2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2021
Wearing a mask is a requirement in the Covid-19 pandemic for the general public. While it is one of the several must-do actions to prevent forward spread in the Covid-19 infections, at the same time, the effect of wearing a mask in naïve face recognition
Regina Lionnie, C. Apriono, Dadang Gunawan   +2 more
semanticscholar   +1 more source

GLCM and neural network-based watermark identification

SPIE Proceedings, 2008
In this work, we extend our previous research on gray level co-occurrence matrix (GLCM) based watermark embedding in the discrete cosine transform (DCT) domain to the discrete wavelet transform (DWT) domain. The GLCM method incorporated human visual system information into the embedding process making the watermark more transparent.
Lifford McLauchlan, Mehrübe Mehrübeoğlu   +1 more
openaire   +1 more source

GLCM Based Feature Extraction and Medical X-RAY Image Classification using Machine Learning Techniques

2019 IEEE Conference on Information and Communication Technology, 2019
The machine learning and artificial intelligence play a vital role to solve the challenging issues in Clinical imaging. The machine learning and artificial intelligence ease the daily life of both medical practitioner and patient's.
P. Mall, Pradeep Singh, Divakar Yadav
semanticscholar   +1 more source

Palmprint identification via GLCM of Contourlet transform

2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2013
From different methods for personal identification, biometric features are most concerned. One of robust biometrics for personal identification is palmprint. Feature extraction from palm area is important issue and can determine complexity and efficiency of identification system.
A. Younesi, M. C. Amirani
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Iris recognition using radon transform and GLCM

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
Iris recognition for some time now has been a challenging exercise. This perhaps is due to the use of inappropriate descriptors during the feature extraction stage. In this paper, a Radon Transform is used as an iris signature descriptor. Blood vessels are segmented from iris image. After blood vessel segmentation, the radon transform is applied on the
Kanchan S Bhagat, Pramod B. Patil, Ratnadeep R. Deshmukh, D.K. Kirange, Swapnil Waghmare   +4 more
openaire   +1 more source

Wood Species Recognition Using GLCM and Correlation

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
The proposed system identifies the species of the wood using the textural features present in its barks. Each species of a wood has its own unique patterns in its bark, which enabled the proposed system to identify it accurately. Automatic wood recognition system has not yet been well established mainly due to lack of research in this area and the ...
Bremananth R., Nithya B., Saipriya R.
openaire   +1 more source