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Imaged based fractal characterization of micro-fracture structure in coal
To better understand the fractal characteristics of coal fracture network and find the relation
between 2D and 3D fractal dimensions, the improved box counting method was utilized to …
between 2D and 3D fractal dimensions, the improved box counting method was utilized to …
Reconstruction of barely visible impact damage in composite structures based on non-destructive evaluation results
A Wronkowicz-Katunin, A Katunin, K Dragan - Sensors, 2019 - mdpi.com
The occurrence of barely visible impact damage (BVID) in aircraft composite components
and structures being in operation is a serious problem, which threatens structural safety of …
and structures being in operation is a serious problem, which threatens structural safety of …
Sound methods and effective tools for model-based security engineering with UML
J Jürjens - Proceedings of the 27th international Conference on …, 2005 - dl.acm.org
Develo** security-critical systems is difficult and there are many well-known examples of
security weaknesses exploited in practice. Thus a sound methodology supporting secure …
security weaknesses exploited in practice. Thus a sound methodology supporting secure …
Image thresholding based on Pareto multiobjective optimization
A new image thresholding method based on multiobjective optimization following the Pareto
approach is presented. This method allows to optimize several segmentation criteria …
approach is presented. This method allows to optimize several segmentation criteria …
Two-dimensional minimum local cross-entropy thresholding based on co-occurrence matrix
F Nie, C Gao, Y Guo, M Gan - Computers & Electrical Engineering, 2011 - Elsevier
This paper introduces a novel image segmentation method that performs histogram
thresholding on an image with consideration to spatial information. The spatial information is …
thresholding on an image with consideration to spatial information. The spatial information is …
A multichannel watershed-based algorithm for supervised texture segmentation
Segmentation of image regions based on their texture is a standard problem in image
analysis. Once a set of texture features is selected, several algorithms can be applied to …
analysis. Once a set of texture features is selected, several algorithms can be applied to …
Optimized multi threshold brain tumor image segmentation using two dimensional minimum cross entropy based on co-occurrence matrix
The present chapter proposes an automatic segmentation method that performs multilevel
image thresholding by using the spatial information encoded in the gray level co-occurrence …
image thresholding by using the spatial information encoded in the gray level co-occurrence …
[PDF][PDF] Ultrasonic C-scan image processing using multilevel thresholding for damage evaluation in aircraft vertical stabilizer
Following the “on condition maintenance” approach used for extending service life of an
aircraft one of the major tasks is a nondestructive testing of its critical elements. Considering …
aircraft one of the major tasks is a nondestructive testing of its critical elements. Considering …
Classifier design with incomplete knowledge
Pattern classification is a well studied problem in which the identity of an unknown pattern is
determined to be one of M classes spanning the pattern space. A new criterion function, the …
determined to be one of M classes spanning the pattern space. A new criterion function, the …
Tensor-based ultrasonic data analysis for defect detection in fiber reinforced polymer (FRP) composites
R You, Y Yao, J Shi - Chemometrics and Intelligent Laboratory Systems, 2017 - Elsevier
Non-destructive testing (NDT) is an important tool for defect detection in composite
materials. Compared to other NDT methods, ultrasonic testing (UT) has the principal …
materials. Compared to other NDT methods, ultrasonic testing (UT) has the principal …