Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis

Abstract

Spray cooling, droplet interaction with complex surfaces, and droplet evaporation from solid walls are promising areas of research. These experiments require automated digital image processing, particularly when recording large amounts of video data. This paper presents methods for recognition of objects in digital images in order to obtain quantitative characteristics of evaporating droplets in low-light conditions. New algorithms have been developed to identify and close object boundaries in conditions of limited visibility, enabling measurement of the geometric parameters of evaporating droplets. A comparison is made with data obtained using manual image processing, and the usability conditions of the proposed algorithms are demonstrated.