scholarly journals Experimental Validation of a New Method for Symmetry Line Detection

2011 ◽  
Vol 8 (1) ◽  
pp. 71-86 ◽  
Author(s):  
Luca Di Angelo ◽  
Paolo Di Stefano ◽  
Maria G. Vinciguerra
2010 ◽  
Vol 7 (sup1) ◽  
pp. 1-17
Author(s):  
Luca Di Angelo ◽  
Paolo Di Stefano ◽  
Maria G. Vinciguerra

Author(s):  
Paweł Kowalski ◽  
Piotr Tojza

The article proposes an efficient line detection method using a 2D convolution filter. The proposed method was compared with the Hough transform, the most popular method of straight lines detection. The developed method is suitable for local detection of straight lines with a slope from -45˚ to 45˚.  Also, it can be used for curve detection which shape is approximated with the short straight sections. The new method is characterized by a constant computational cost regardless of the number of set pixels. The convolution is performed using the logical conjunction and sum operations. Moreover, design of the developed filter and the method of filtration allows for parallelization. Due to constant computation cost, the new method is suitable for implementation in the hardware structure of real-time image processing systems.


Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3629
Author(s):  
Tomasz Janusz Teleszewski ◽  
Andrzej Gajewski

The highest effectiveness of heat exchange is under boiling; hence, surface tension is an important parameter and should be determined when new liquid substances are created. The most popular methods are based on numerically solving the Young–Laplace equation by applying the Bashforth and Adams algorithm, which fails at the poles and at the inflection points. The newest algorithm is based on the closed-form expressions that define a drop or bubble. It gives the accurate solutions for the fully created drops or bubbles. To validate it, the surface tension value is determined for the air bubbles in water and compared with the reference data. Because the relative discrepancies are extremely small, the new method may be thought of as positively validated.


Author(s):  
Zu Kuan Wei ◽  
Na Chen ◽  
Young Hwan Oh ◽  
Hong Yeon Kim ◽  
Jae Hong Kim

Author(s):  
L. Di Angelo ◽  
P. Di Stefano ◽  
A. Spezzaneve
Keyword(s):  

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