Automatic lane detection and separation in one dimensional gel images using continuous wavelet transform

2010 ◽  
Vol 2 (9) ◽  
pp. 1360 ◽  
Author(s):  
Akbar Akbari ◽  
Fritz Albregtsen ◽  
Kjetill S. Jakobsen
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Lane Detection ◽  
Continuous Wavelet ◽  
One Dimensional ◽  
Detection And Separation

scholarly journals Detection of Delamination in Laminate Wind Turbine Blades Using One-Dimensional Wavelet Analysis of Modal Responses

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Łukasz Doliński ◽  
Marek Krawczuk ◽  
Arkadiusz Żak
Keyword(s):  
Wavelet Transform ◽  
Wind Turbine ◽  
Continuous Wavelet Transform ◽  
Laser Scanning ◽  
Turbine Blades ◽  
Diagnostic Technique ◽  
Experimental Investigations ◽  
Continuous Wavelet ◽  
Wind Turbine Blades ◽  
One Dimensional

This paper demonstrates the effectiveness of a nondestructive diagnostic technique used to determine the location and size of delamination in laminated coatings of wind turbine blades. This is realized based on results of numerical and experimental investigations obtained by the use of the finite element method (FEM) and laser scanning vibrometry (LSV). The proposed method is based on the one-dimensional continuous wavelet transform of vibration parameters of a wind turbine blade. The investigations were conducted for a 1 : 10 scaled-down blade of a 36 m rotor wind turbine. Glass fibres and epoxy resin were used as laminate components. For numerical studies, a simple delamination model was proposed. The results obtained by the authors were used to determine the optimal set of parameters of the continuous wavelet transform. The application of high-quality LSV for experimental measurements allowed determining the optimal conditions of measuring procedures. At the same time the capabilities and limitations, resulting from the nature of the measurement method, were identified. In order to maximize the effectiveness of the detection method, preliminary signal processing was performed. Beside base wavelets also different waveform families were tested. The results obtained by the authors showed that it is possible to identify and localize even relatively small damage.

scholarly journals Fringe pattern analysis using a one-dimensional modified Morlet continuous wavelet transform

2008 ◽  
Author(s):  
Abdulbasit Z. Abid ◽  
Munther A. Gdeisat ◽  
David R. Burton ◽  
Michael J. Lalor ◽  
Hussein S. Abdul-Rahman ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Fringe Pattern ◽  
Pattern Analysis ◽  
Continuous Wavelet ◽  
One Dimensional ◽  
Morlet Continuous Wavelet Transform ◽  
Fringe Pattern Analysis

scholarly journals Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform

2013 ◽  
Vol 2013 ◽  
pp. 1-19 ◽  
Author(s):  
Bruno Moreira ◽  
António Sousa ◽  
Ana Maria Mendonça ◽  
Aurélio Campilho
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Image Data ◽  
Lane Detection ◽  
Superior Performance ◽  
Second Phase ◽  
Continuous Wavelet ◽  
The Third ◽  
Third Phase ◽  
Layer Chromatography

This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature.

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