Results 171 to 180 of about 26,874 (197)

Oil spill detection using GLCM and MRF

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
This paper presents a study for oil spill detection in three steps. The first one considers the texture as a two dimensions array, and to describe the statistics iteration between pixels the algorithm computes a textural feature related with the Gray Level Co-occurrence Matrix (GLCM).
L Lopez, M Moctezuma, F Parmiggiani
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GLCM and its application in pattern recognition

2017 5th International Symposium on Computational and Business Intelligence (ISCBI), 2017
Grey Level Co-Occurrence matrix is one of the oldest techniques used for texture analysis. The Grey Level Co-Occurrence matrix has two important parameters i.e. distance and direction. In this paper various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on ...
Shruti Singh, Divya Srivastava, Suneeta Agarwal   +2 more
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GLCM and K-Means based Chicken Gender Classification

2021 Smart Technologies, Communication and Robotics (STCR), 2021
Machine learning plays an influential role in the agricultural sector. Intelligent machines can perform automatic management tasks in various fields. In recent years, the poultry farm management field also utilizes this concept. In poultry farms, the machine learning algorithms are employed for different purposes such as weather monitoring and control,
Thavamani S, Vijayakumar J, Sruthi K
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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
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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
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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
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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
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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
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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