Results 241 to 250 of about 208,499 (277)

Skin Cancer Detection Using Gray Level Co-occurrence Matrix Feature Processing

2020 5th International Conference on Devices, Circuits and Systems (ICDCS), 2020
At present time, skin cancer is becoming common explanation for death in citizenry . Often when body exposed to the daylight , it's going to causes carcinoma it's a abnormal growth of skin cells within the physical body . Generally most of the skin cancers are often cured if they're detected in early of its stage.
Swati Jayade, D. T. Ingole, Manik D. Ingole   +2 more
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Directional Analysis of Texture Images Using Gray Level Co-Occurrence Matrix

2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
Direction parameter thetas is one of the important parameters of GLCM (gray level co-occurrence matrix). A fixed angle (such as thetas=45deg) or the average of the measurements in four direction (thetas=0deg,45deg,90deg,135deg) were usually used in calculating GLCM. However, these methods are just empiristic idea, lacking of theoretical support.
Yong Hu, Chun-xia Zhao, Hong-nan Wang
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Iris authentication using Gray Level Co-occurrence Matrix and Hausdorff Dimension

2015 International Conference on Computer Communication and Informatics (ICCCI), 2015
Many of the researchers suggest that, Biometrics is the only solution for user identification and security problems. Password incorrect use and misapplication, intentional and inadvertent is a gaping hole in security. These results are mainly occurs due to Poor human judgment, carelessness and due to tactlessness.
P. Steffi Vanthana, A. Muthukumar
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Extended gray level co-occurrence matrix computation for 3D image volume

SPIE Proceedings, 2017
Gray Level Co-occurrence Matrix (GLCM) is one of the main techniques for texture analysis that has been widely used in many applications. Conventional GLCMs usually focus on two-dimensional (2D) image texture analysis only. However, a three-dimensional (3D) image volume requires specific texture analysis computation. In this paper, an extended 2D to 3D
Nurulazirah M. Salih, Dyah Ekashanti Octorina Dewi   +1 more
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Skin Roughness Evaluation Method Based on gray level co-occurrence matrix

2019 Chinese Control And Decision Conference (CCDC), 2019
To evaluate the Skin roughness in the image of human, skin features are based on eigenvalues of the gray level co-occurrence matrix are used, and the Pearson correlation coefficient is used to select the eigenvalues as the evaluation index. In the calculation of new eigenvalue, the normal equation is used to calculate the weight to improve the accuracy
Minghao LU, Yifei LIU, Wenjuan HE, Xiuxiu LI   +3 more
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An optimized skin texture model using gray-level co-occurrence matrix

Neural Computing and Applications, 2017
Texture analysis is devised to address the weakness of color-based image segmentation models by considering the statistical and spatial relations among the group of neighbor pixels in the image instead of relying on color information of individual pixels solely. Due to decent performance of the gray-level co-occurrence matrix (GLCM) in texture analysis
Maktabdar Oghaz, M., Maarof, M. A., Rohani, M. F., Zainal, A., Shaid, S. Z. M.   +4 more
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Electroencephalography-Based Emotion Recognition Using Gray-Level Co-occurrence Matrix Features

2016
Emotions are very essential for our day-to-day activities such as communication, decision-making and learning. Electroencephalography (EEG) is a non-invasive method to record electrical activity of the brain. To make Human–Machine Interaction (HMI) more natural, human emotion recognition is important.
Narendra Jadhav, Ramchandra Manthalkar, Yashwant Joshi   +2 more
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Non-subsampled contourlets and gray level co-occurrence matrix based images segmentation

2011 International Conference on Uncertainty Reasoning and Knowledge Engineering, 2011
Contourlet is a new geometric multiscale tool that is based on multiscale filters and directional filter banks. It not only inherits the multiscale characteristics of dimensionality-inseparable wavelets, but also has the flexible multi-directional characteristic by changing the directions of transform and sequences.
Zhang Jian, Chen Xiaowei
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Defect detection on air bearing surface with gray level co-occurrence matrix

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE), 2014
Air bearing surface (ABS) is the part of magnetic read/write head flying height controller. It is very important part in magnetic disk (hard disk drive), defected on ABS lead to crash between read/write head and disk surface, therefore its verifying is necessary. The best way to verify defect on ABS is machine vision.
Pichate Kunakornvong, Chiewchan Tangkongkiet, Pitikhate Sooraksa   +2 more
openaire   +1 more source

Gray Level Co-Occurrence Matrix (GLCM) Parameters Analysis for Pyoderma Image Variants

Journal of Computational and Theoretical Nanoscience, 2020
Analysis of different visual textures present in the given images is one of the important perspectives of human vision for objects segregation and identification. Texture-based features are widely used in medical diagnosis for informal prediction of dermatological diseases.
Chaahat Gupta, Naveen Kumar Gondhi, Parveen Kumar Lehana   +2 more
openaire   +1 more source