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《Process Automation Instrumentation》 2012-10
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Morphological Segmentation Method for Bubbles Image in Gas-liquid Two-phase Flow

Shi Lilian Ye Jun Shen Hongwei  
Aiming at the phenomenon of bubble adhesion in the gas-liquid two-phase flow images;a new algorithm of image segmentation to identify the bubble adhesion is presented.Firstly,the image-subtraction algorithm is used to eliminate the background noises and an optimal threshold segmentation algorithm is applied to obtain the binary images.Then,the central area of bubbles is filled with the morphology algorithm,and by subtracting the original binary images from filled images,the bright dots images of bubbles are extracted.Finally,the morphological conditions thickening algorithm is used to repeat thicken every bright dot to get segmental images.Tests results show that the algorithm can effectively segmental and identify the bubble adhesion images in gas-liquid two-phase flow,so that the size of bubble and gas rate in section can be measured accurately.
【CateGory Index】: TP391.41;O359.1
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