Paper
28 January 2009 Oil contamination level measurement based on microscopic digital image processing
Chuan Li, Xianming Zhang, Yutao Dong, Ge Liu, Jing Chen
Author Affiliations +
Abstract
To control oil contamination is one of the most important tasks in operating a mechanical device. Oil contamination level is a quantitative parameter used to determine the level of contamination by measuring the number, sizes and distributions of solid particles in an oil substance. According to classification standards of particles contamination level, a novel method with microscopic digital image processing is proposed to measure it. At first the oil sample to be measured is filtered by a vacuum assisted device to gather the solid particles. The filter paper is placed in between two glasses, and the microscopic digital images of it are captured by an optical microscope and a Charge Coupled Device (CCD) camera. The images are then segmented and extracted accordingly. After processing these images, binary images are produced to facilitate the measurement of particle size distribution, which is used to classify the contamination level. Thanks to the application of microscopic digital image processing, the proposed method is able to produce a reliable result with much cheaper expense, which was proven by the results of an experiment.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuan Li, Xianming Zhang, Yutao Dong, Ge Liu, and Jing Chen "Oil contamination level measurement based on microscopic digital image processing", Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 71562Q (28 January 2009); https://doi.org/10.1117/12.807701
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Cited by 1 scholarly publication.
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KEYWORDS
Particles

Contamination

Image segmentation

Solids

CCD cameras

Digital image processing

Image processing

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