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Detection of densely dispersed spherical bubbles in digital images based on a template matching technique - Application to wet foams

机译:基于模板匹配技术的数字图像中密集分散的球形气泡检测-在湿泡沫中的应用

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摘要

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. (c) 2007 Elsevier B.V. All rights reserved.
机译:这项工作描述了一种单相机气泡测量系统,该系统具有基于模板的检测方法。提出该方法的动机是传统方法在浓密分散体中对气泡和颗粒检测的性能较差。回顾,论证和解释了这种常规方法的不良性能。所提出的方法利用模板来增加鲁棒性,并利用图像比例空间来独立于气泡的大小来检测气泡。此外,针对该计算方法的算法优化以降低计算复杂性和减少用户干预为目标,并被提出并编译到软件应用程序中。然后对该软件进行测试,以确定衰减的湿泡沫中气泡的大小分布。 (c)2007 Elsevier B.V.保留所有权利。

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