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Showing 1 to 20 of 23 for “"GLCM"”.
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Image Quality Analysis Using GLCM
… were stored at several levels of compression. GLCM proves to be a good discriminator in studying different images however no such claim can be made for image quality. Hence the search for the best image quality metric continues.
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Morphological granulometry for texture analysis
… performance of grey level co-occurrence matrix (GLCM) features from the synthetic images and both sets of real images was compared to that of granulometric moments, and it was found that granulometric moments provide much improved classification compared to GLCM features for such shape-based …
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Computer vision and texture analysis for characterization of X-ray images of rocks
… called Gray-Level Co-occurrence Matrix (GLCM) is applied to grayscale micro-CT images. GLCM incorporates directional, spatial, and frequency information of gray-level intensities in a 2D spatial map. The resulting GLCM-statistics are linked to grain-size distributions, (an)isotropic grain …
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PROFILING EFFUSION CELLS BY QUANTITATIVE ANALYSIS OF MORPHOLOGY AND DIFFRACTION IMAGING PATTERNS
… by the gray-level co-occurrence matrix (GLCM) algorithm and 3D morphology parameters and investigate various approaches of morphology based cell classification. Clustering algorithms of hierarchical clustering (HC) and Gaussian mixture model (GMM) have been investigated to develop a …
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Ανάπτυξη συστήματος επεξεργασίας δεδομένων τηλεπισκόπησης για αυτόματη ανίχνευση και ταξινόμηση περιοχών με περιβαλλοντικές αλλοιώσεις
… τεχνικές ανάλυσης και ταξινόμησης υφής όπως GLCM, Markov Random Fields, Gabor Filters και Neural Networks. Η μελέτη προσανατολίστηκε στην ανάπτυξη νέων μεθόδων ταξινόμησης υφής για αυξημένη αποτελεσματικότητα. Χρησιμοποιήθηκαν δεδομένα πολυφασματικά και SAR. Για τα πολυφασματικά δεδομένα …
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Técnicas de análise de textura para processamento de imagem: relação entre a textura de imagens e a textura da sua combinação linear
… no método das Matrizes de Co-ocorrência (GLCM). Sendo o objetivo deste trabalho estudar a proximidade (num espaço e métrica adequados) entre as texturas de um conjunto de imagens e a textura de uma combinação linear destas, procede-se à comparação entre a textura de imagens base …
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Development of an image based technique for assessment of colorectal epithelial integrity and function in an ovine model
… utilizes the grey level co-occurrence matrix (GLCM) texture analysis technique to compute the correlation statistic for each image. ROC analysis produces an ideal cut-off point for determining an increase in permeability with a resultant sensitivity and specificity of 95.5%. Quantitative …
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Vision based methodology for evaluation of meat quality characteristics : A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy at Lincoln University
… than that of reduced features (6 geometric + 8 GLCM + 4 GLRM). It indicates that the reduced features have a similar discriminatory power as the original features. In all cases, the classification rates achieved with reduced features were still comparable, because of the simplicity in feature …
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Identifying lesions in paediatric epilepsy using morphometric and textural analysis of magnetic resonance images
… using Gray-Level Co-occurrence Matrices (GLCM) on MRI sequences. The model will be validated on paediatric subjects. Preliminary morphometric analysis explored the use of computational models of established MRI features of FCD in aiding identification of subtle FCD on MRI-positive …
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Temporal, spatial, spectral and polarisation characteristics of the SAR backscatter from regenerating tropical forests
… However, when applied to real SAR data only GLCM (Grey Level Co-occurrence Matrix) derived contrast strengthened the σº/biomass relationship. The addition of GLCM-derived contrast to σ° potentially increases the accuracy of biomass estimation and mapping.<br/><br/>Neural networks can be used …
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Comparison of spatial and spectral properties of Landsat-8 and Sentinel-2 data for mapping plant chlorophyll-a
… The ability of Gray Level Co-occurrence Matrix (GLCM) texture features with Landsat-8 at medium resolution 30 m with R² = 0.55, p = 0.000006, and RMSE = 0.17 μg/m² in estimating plant chl-a yielded higher performance accuracy than Sentinel-2 at 10 m resolution with R² = 0.24, p = 0, and RMSE = …
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Parallel computing on geostatistical data using CUDA
… obtained using Gray Level Coocurrence Matrices (GLCM). We parallelized the computation by using multiple sliding windows on two-dimensional data concurrently. Our approach also includes, in addition to comparing to serial implementation, measuring the parallelized performance under different data …
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Three dimensional quantitative textural analysis of nickel sulphide ore using X-ray computed tomography and grey level co-occurrence matrices on drill core
… known as grey level co-occurrence matrices (GLCM) is specially adapted into three dimensions (3D) to quantify ore texture using XCT grey level volumes of drill core.
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Early Forest Fire Detection Using Texture Analysis of Principal Components from Multispectral Video
… known as a Gray Level Co-Occurrence Matrix (GLCM). Initial analysis is performed on selected frames where only a subset of time is considered. Once the parameters are chosen from the static analysis, the algorithms are executed on video through time to validate the method.</p> <p>The results …
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Applying Artificial Intelligence and Mobile Technologies to Enable Practical Screening for Diabetic Retinopathy
… T-SNE, we observed possible clusters in using GLCM features; however, there was insufficient data from healthy individuals to be able to draw any significant conclusions.
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Non-contact Methods for Detecting Hot-mix Asphalt Nonuniformity
… It computes the gray level co-occurrence matrix (GLCM) of images of newly constructed pavements to find various parameters that are commonly used in visual texture analysis. Using principal component analysis to integrate multivariable data into a single classifier, Hotelling's T2 statistic, the …
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A soft coprocessor approach to the development of image and video processing applications on FPGAs
… of K-means Clustering for grey level images, GLCM feature extraction, and Histogram of oriented Gradients (HoG). <br/><br/>Finally, a prototype implementation of an integrated development environment, called SCoPeS, is presented. This enables a user to express an application as a text-based …
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Quantitative Texture Analysis and Automated Segmentation of Patellar Tendon Sonographic Images on Collegiate Athletes
… parameters (Gray level co-occurrence matrix (glcm), Gray level dependence matrix (gldm), Gray level run length matrix (glrlm), Gray level size zone matrix (glszm), Neighbouring Gray tone difference matrix ngtdm) [1], [2]. This research demonstrates that quantifiable differences in texture …
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An image processing decisional system for the Achilles tendon using ultrasound images
… results for classifying the AT, SRAD, CLAHE, GLCM, GLRLM, KPCA algorithms have been used. This was followed by the use of different standard and ensemble classifiers trained and tested using the dataset samples and reduced features to categorize the AT images into normal or abnormal. Various …
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Remote sensing characterisation of the forest-tundra ecotone
… from the grey-level co-occurrence matrix (GLCM), and the Landsat Vegetation Continuous Fields (VCF) product is used as the primary data source. The outcome offers advantages, both visually and statistically, over traditional image classification methods and can be applied to different parts …
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