Experimental Evaluation of the Best Approach for Diesel Spray Images Segmentation

In this article, two of the most used methods for diesel spray macroscopic characterization are presented; the first one is the likelihood ratio test method (LRT) and the second one is the Otsu's thresholding method (OTM). Both methods are applied to different diesel sprays visualized in a high-pressure nitrogen chamber obtaining better results with the LRT in terms of both contour determination and coherence of the results. Finally, the influence of the algorithm used for the segmentation on the macroscopic characterization measurements is observed.