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Detection of densely dispersed spherical bubbles in digital images based on a template matching technique

2007; Elsevier BV; Volume: 309; Issue: 1-3 Linguagem: Inglês

10.1016/j.colsurfa.2007.01.007

1873-4359

Xenophon Zabulis, Maria Papara, A. Chatziargyriou, Thodoris D. Karapantsios,

Image and Object Detection Techniques

This work describes a, single-camera, bubble measurement system, which features a template-based detection method. The motivation for the proposed approach is the poor performance of conventional methods towards bubble and particle detection in dense dispersions. The, poor, performance of such conventional approaches is reviewed, demonstrated and explained. The proposed approach utilizes templates to increase robustness and an image scale-space to detect bubbles independently of their size. Furthermore, algorithmic optimizations for the proposed approach that target the reduction of computational complexity and user-intervention are proposed and compiled into a software application. This software is then tested in the determination of bubble size distribution in decaying wet foam.