Results 71 to 80 of about 1,193 (111)

Gray-level co-occurrence matrix analysis of chromatin architecture in periportal and perivenous hepatocytes

Histochemistry and Cell Biology, 2018
Periportal hepatocytes (PPHs) and perivenous hepatocytes (PVHs) in standard optical microscopy appear to be morphologically identical. However, the functional properties of these two cell populations and their roles in liver lobules are not the same.
Jovana Paunovic, Danijela Vucevic, Tatjana Radosavljevic, Senka Pantic, Milena Veskovic, Igor Pantic   +5 more
openaire   +2 more sources

JPEG image tampering localization based on normalized gray level co-occurrence matrix

Multimedia Tools and Applications, 2018
To locate the tampered region of double compressed JPEG images, one of the most effective methods is based on the statistical characteristic of the images. After tampering operation, the tampered region and the original region will have different statistical distributions. And according to this cue, the histogram of DCT coefficients can be moded as the
Fei Xue, Wei Lu 0001, Ziyi Ye, Hongmei Liu 0001   +3 more
openaire   +1 more source

An Mean Shift Based Gray Level Co-occurrence Matrix for Endoscope Image Diagnosis

2010
Endoscope is important for detecting gastric lesions. Computer aided analysis of endoscope images is helpful to improve the accuracy of endoscope tests. In this paper, Mean Shift-Gray Level Co-occurrence Matrix algorithm (MS-GLCM), an improved algorithm for computing Gray Level Co-occurrence Matrix (GLCM) based on Mean Shift, is presented to solve the ...
Yilun Wu, Kai Sun, Xiaolin Lin, Shidan Cheng 0001, Su Zhang 0001   +4 more
openaire   +1 more source

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 V. Joshi   +2 more
openaire   +1 more source

Improvements on the Gray Level Co-occurrence Matrix Technique to Compute Ischemic Stroke Volume

2002
The purpose of this work was to apply and test Haralick’s gray level co-occurrence matrix (GLCM) technique for automatic calculation and segmentation of the ischemic stroke volume from CT images. For this task, the 3-nearest neighbors classifier was trained to perform stroke and non-stroke area classification.
Andrius Usinskas, Bernd Tomandl, Peter Hastreiter, Klaus Spinnler, Thomas Wittenberg   +4 more
openaire   +1 more source

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
openaire   +1 more source

A fast calculation method for gray-level co-occurrence matrix base on GPU

2017 2nd International Conference on Image, Vision and Computing (ICIVC), 2017
Gray level co-occurrence matrix (GLCM) has the defect of large computation and long time-delay, which have greatly influenced the real time of system. In order to solve the problem, this paper proposed a parallel algorithm based on graphics process unit (GPU) based on the full analysis of the parallelism of calculating GLCM.
null Huichao Hong, null Shuwan Pan, null Lixin Zheng   +2 more
openaire   +1 more source

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

The research of color sorting algorithm based on gray level co - Occurrence matrix

Proceedings of 2013 2nd International Conference on Measurement, Information and Control, 2013
The Color sorting technology is the core of color sorters. At present there are many image processing and recognition techniques applied to the color sorting technology. In this paper, we applied the Image Texture Analysis methods to identify the quality of the rice. We can collect the rice image through the CCD camera.
null Weifeng Zhong, null Jinjin Chen, null Bopin Tian, null Yaji Xie   +3 more
openaire   +1 more source

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
openaire   +1 more source