2018
DOI: 10.1088/1361-6501/aab121
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Automatic macroscopic characterization of diesel sprays by means of a new image processing algorithm

Abstract: A novel algorithm is proposed for the automatic segmentation of diesel spray images and the calculation of their macroscopic parameters. The algorithm automatically detects each spray present in an image, and therefore it is able to work with diesel injectors with a different number of nozzle holes without any modification. The main characteristic of the algorithm is that it splits each spray into three different regions and then segments each one with an individually calculated binarization threshold. Each th… Show more

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Cited by 10 publications
(4 citation statements)
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“…6–8 These regulations, together with concern about security and energy diversification, have encouraged the use of biofuels, both pure and blended with fossil fuels, in the ICE. 911…”
Section: Introductionmentioning
confidence: 99%
“…6–8 These regulations, together with concern about security and energy diversification, have encouraged the use of biofuels, both pure and blended with fossil fuels, in the ICE. 911…”
Section: Introductionmentioning
confidence: 99%
“…The shutter opening time is 40 s, which allows to achieve non-blurry 896 px × 512 px images. The approximated scale between world and image units is about 10.5 px/mm, although this correlation requires to undistort the image after the camera calibration (e.g., [ 31 , 32 ]). The control system sends a trigger signal to the high-speed camera to start the image acquisition in a synchronous mode to the injector activation.…”
Section: Methodsmentioning
confidence: 99%
“…Dynamic thresholds calculate t i based on a selected characteristic of the image, such as peak pixel intensity [38]. Locally-adaptive thresholds calculate threshold values for different locations in the image, such as for the head or tail of a fuel jet where illumination conditions may be different [39]. Statistical thresholding methods select t i based on models of the image histogram.…”
Section: Segmentation Of Combustion Imagesmentioning
confidence: 99%