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- W2003134557 abstract "It is a key technology to detect the edge of the droplet profile exactly for application in drop volume calculation, liquidtarget identification and liquid characteristics analysis. The droplet images in various stages during the drop growth arefirstly acquired and stored real-timely through ICCD. After a series of preprocessing, including image cutting, noisefiltering, image segmentation and filling, a proper edge detection method is chosen to extract the droplet image profile. Theprinciple and algorithm of some classical and newly developed methods for edge detection are introduced and comparedin detail, such as differential operator, Laplacian operator, improved Canny operator, wavelet transformation,mathematical morphology, fuzzy operator and fractal geometry. Wavelet transformation can be used effectively forextracting the droplet image profile, because of its advantages of multiple resolution, focus variation and edgeenhancement. The image records of the droplet formation and the detected profile curves are presented." @default.
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- W2003134557 date "2007-11-15" @default.
- W2003134557 modified "2023-10-18" @default.
- W2003134557 title "Study on edge extraction methods of the droplet image profile" @default.
- W2003134557 doi "https://doi.org/10.1117/12.750845" @default.
- W2003134557 hasPublicationYear "2007" @default.
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