Imaged based fractal characterization of micro-fracture structure in coal

H Wu, Y Zhou, Y Yao, K Wu - Fuel, 2019 - Elsevier
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 …

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 …

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 …

Image thresholding based on Pareto multiobjective optimization

A Nakib, H Oulhadj, P Siarry - Engineering Applications of Artificial …, 2010 - Elsevier
A new image thresholding method based on multiobjective optimization following the Pareto
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 …

A multichannel watershed-based algorithm for supervised texture segmentation

N Malpica, JE Ortuño, A Santos - Pattern Recognition Letters, 2003 - Elsevier
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 …

Optimized multi threshold brain tumor image segmentation using two dimensional minimum cross entropy based on co-occurrence matrix

T Kaur, BS Saini, S Gupta - Medical Imaging in Clinical Applications …, 2016 - Springer
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 …

[PDF][PDF] Ultrasonic C-scan image processing using multilevel thresholding for damage evaluation in aircraft vertical stabilizer

A Wronkowicz, A Katunin, K Dragan - International Journal of Image …, 2015 - mecs-press.org
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 …

Classifier design with incomplete knowledge

R Muzzolini, YH Yang, R Pierson - Pattern Recognition, 1998 - Elsevier
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 …

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 …