Dynamic mask generation based on peak to correlation energy ratio for light reflection and shadow in PIV images

Author(s)

Lemos, Bernardo Luiz Harry Diniz ; Amaral, Rodrigo de Lima ; Bortolin, Vitor Augusto Andreghetto ; Lemos, Marcelo Luiz Harry Diniz ; de Moura, Helder Lima ; de Castro, Marcelo Souza ; de Castilho, Guilherme Jose ; Meneghini, Julio Romano

• Document type: Journal article
• Source: MEASUREMENT; v. 229, p. 16-pg., 2024-03-05.

Abstract

The performance of particle image velocimetry (PIV) measurements directly depends on the identification and removal of noisy regions in the field of view. Regions in the image with shadows and light reflections directly affect the PIV correlation and consequently deteriorate the vector field. This work proposes a new approach for mask generation based on peak correlation energy (PCE) ratio to remove the noisy effects of light reflection and shadow in PIV images. This approach considers that it is possible to relate low and high PCE values to noise and signal, respectively. Based on this, the PCE values are organized in a probability density function and a threshold is automatically estimated to separate the two regions. Furthermore, a mask correction step is proposed in the present method. The efficacy of this method is demonstrated through cases using both synthetic and experimental images, showcasing its potential to improve PIV analysis accuracy. (AU)

• FAPESP's process: 14/50279-4 - Brasil Research Centre for Gas Innovation
• Grantee: Julio Romano Meneghini
• Support Opportunities: Research Grants - Research Centers in Engineering Program
• FAPESP's process: 20/15230-5 - Research Centre for Greenhouse Gas Innovation - RCG2I
• Grantee: Julio Romano Meneghini
• Support Opportunities: Research Grants - Research Centers in Engineering Program