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Multi – Oil Droplet Recognition of Oil-water Two-phase Flow Based on Integrated Features by Han Lian-fu; Chen Ming; Wu Long_long; Zhu Yong-kang; Zhang Yu; Liu Xing-bin; Fu Chang-feng is a Engineering article available to read on EtoBox.

What is Multi – Oil Droplet Recognition of Oil-water Two-phase Flow Based on Integrated Features about?

Multi-oil droplet target recognition is one of the applications of machine vision in the measurement of oil-water two-phase flow parameters, which could combine other algorithms to obtain the oil droplet velocity and the water holdup of oil water two-phase flow. Appropriate target representation features can improve the recognition effect of multiple oil droplets. However, due to shooting environment differences and quality differences of oil-water two-phase flow images, existing target representation features do not perform well in low-quality oil-water two-phase flow images. To improve the precision of multi-oil droplet target recognition in oil-water two-phase flow and reduce the miss rate, this paper constructs an integrated feature on the basis of aggregate channel features (ACF). The integrated feature named aggregate channel features with histogram of local gravitational feature(ACFHG) contains the color feature channels reflecting the overall color features of the oil droplet sample, the gradient amplitude channel reflecting the overall gradient of the oil droplet sample image, the gradient direction histogram feature channels reflecting the local gradient of the oil drople

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Author

Han Lian-fu; Chen Ming; Wu Long_long; Zhu Yong-kang; Zhang Yu; Liu Xing-bin; Fu Chang-feng

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Engineering (Physical Sciences)