Diesel spray image segmentation with a likelihood ratio test.
Diesel spray image segmentation with a likelihood ratio test.
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DOI：
10.1364/ao.40.002876
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发表时间：
2001-06
期刊：
影响因子：
1.9
通讯作者：
J. Pastor;J. Arrégle;A. Palomares
中科院分区：
文献类型：
--
作者：
J. Pastor;J. Arrégle;A. Palomares
为了表征柴油喷雾的宏观行为，并验证和扩展现有高压喷射系统的相关性，有必要准确地确定喷雾几何形状，至少在喷雾尖端穿透和锥角方面。这些参数通过分析柴油喷雾图像来测量，并且对正确的边缘确定高度敏感。提出了一种基于似然比检验的彩色图像分割算法。该算法与文献中的其他算法进行了比较，并已得到验证，即使在不利的实验条件下。实验设施，光学布局，和图像处理算法进行了描述。
To characterize the macroscopic behavior of Diesel sprays and to validate and extend for current high-pressure injection systems the correlations existent in the literature, it is necessary to determine the spray geometry accurately, at least in terms of spray tip penetration and cone angle. These parameters are measured by analyzing Diesel spray images and are highly sensitive to the correct edge determination. An algorithm for segmentation of color images based on a likelihood ratio test is presented. This algorithm is compared with others available in the literature and has been validated, even for adverse experimental conditions. The experimental facilities, optical layouts, and image-processing algorithms are described.