Results 51 to 60 of about 1,193 (111)

Extraction method of texture feature of images of coal and gangue

Gong-kuang zidonghua, 2017
In view of problems of less extraction feature parameters and low recognition precision existed in image processing methods of coal and gangue, an extraction method of texture feature of images of coal and gangue fused with local binary pattern and gray ...
MI Qiang, XU Yan, LIU Bin, XU Yunjie
doaj   +1 more source

A New Approach For The Fingerprint Classification Based On Gray-Level Co- Occurrence Matrix

, 2008
{"references": ["Galton, F. \"Finger prints\". McMillan, London, 1892.", "Henry, E \"Classification and uses of finger prints\" Rutledge, London,\n1900.", "Neil Yager, Adnan Amin \"Fingerprint classification: a review,\"\nSpringer-Verlag London, 2004.", "Jain A, Prabhakar S, and Hong L, \"A multichannel approach to\nfingerprint classification\".
Mehran Yazdi, Kazem Gheysari
openaire   +1 more source

An Ordinal Co-occurrence Matrix Framework for Texture Retrieval

EURASIP Journal on Image and Video Processing, 2007
We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes.
Mari Partio, Bogdan Cramariuc, Moncef Gabbouj   +2 more
doaj   +1 more source

Application of Haralick texture features in brain [18F]-florbetapir positron emission tomography without reference region normalization

Clinical Interventions in Aging, 2017
Desmond L Campbell,1 Hakmook Kang,2 Sepideh Shokouhi1 On behalf of The Alzheimer’s Disease Neuroimaging Initiative 1Department of Radiology and Radiological Sciences, 2Department of Biostatistics, Vanderbilt University Medical Center ...
Campbell DL, Kang H, Shokouhi S
doaj  

GGLCM: A Real-time Early Anomaly Detection Method for Mechanical Vibration Data with Missing Labels

Measurement Science Review
Early anomaly detection plays a central role in the scientific maintenance of mechanical equipment. Although the application is limited by weak monitoring, it encounters the problem of missing labels. To overcome this challenge, the Gramian gray level co-
Yu Hu, Che Xiaoyu, Zhang Chao, Zhu Rupeng, Chen Weifang   +4 more
doaj   +1 more source

Ship Classification Based On Co-Occurrence Matrix and Support Vector Machines

Electrica
Synthetic aperture radar (SAR) is an important and efficient imaging technology. This system provides robust information for various applications such as ship detection, climate change, and agricultural land modeling.
Kazım Hanbay, Taha Burak Özdemir
doaj   +1 more source

A New Feature Set for Texture-Based Classification of Remotely Sensed Images in a Quantum Framework

Journal of Imaging
Texture feature extraction plays a crucial role in land-use and land-cover (LULC) classification for the remotely sensed images. However, when these images are quantized to a limited number of gray levels to reduce data volume or noise, conventional ...
Archana G. Pai, Koushikey Chhapariya, Krishna M. Buddhiraju, Surya S. Durbha   +3 more
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Fingerprint recognition system based on gray level co-occurrence matrix

, 2017
The biometric system provides an automatic identification of any person, depending on characteristic and feature/attribution of person. Fingerprint is, today, one of the biometric systems that have a wide range of use in many investigation areas. Fingerprint, especially used for authentication, is more reliable comparing to the other traditional ...
openaire   +1 more source

A Method for the Estimation of the Square Size in the Chessboard Image using Gray-level Co-occurrence Matrix

Measurement Science Review, 2012
Xu Guan, Li Xiaotao, Su Jian, Chen Rong, Liu Jianfang   +4 more
doaj   +1 more source

Identifikasi Penyakit pada Daun Tebu dengan Gray Level Co-Occurrence Matrix dan Color Moments

Jurnal Teknologi Informasi dan Ilmu Komputer, 2014
Ratih Kartika Dewi, R.V. Hari Ginardi
doaj   +1 more source