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An Effective On-line Polymer Characterization Technique by Using SALS Image Processing Software and Wavelet Analysis.

Xian GM, Qu JP, Zeng BQ - J Autom Methods Manag Chem (2009)

Bottom Line: This paper describes an effective on-line polymer characterization technique by using small-angle light-scattering (SALS) image processing software and wavelet analysis.The current study utilizes a one-dimensional wavelet to delete noise from the original SALS signal and estimate the variation trend of maximum intensity area of the scattered light.So, the system brought the qualitative analysis of the structural information of transparent film success.

View Article: PubMed Central - PubMed

Affiliation: Computer Engineering Department, South China Normal University, Foshan, Guangdong 528225, China.

ABSTRACT
This paper describes an effective on-line polymer characterization technique by using small-angle light-scattering (SALS) image processing software and wavelet analysis. The phenomenon of small-angle light scattering has been applied to give information about transparent structures on morphology. Real-time visualization of various scattered light image and light intensity matrices is performed by the optical image real-time processing software for SALS. The software can measure the signal intensity of light scattering images, draw the frequency-intensity curves and the amplitude-intensity curves to indicate the variation of the intensity of scattered light in different processing conditions, and estimate the parameters. The current study utilizes a one-dimensional wavelet to delete noise from the original SALS signal and estimate the variation trend of maximum intensity area of the scattered light. So, the system brought the qualitative analysis of the structural information of transparent film success.

No MeSH data available.


On-linevariation trend analysis of theSALS signal by wavelet analysis (wavelet, “sym6,” level 5).
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC2643006&req=5

fig11: On-linevariation trend analysis of theSALS signal by wavelet analysis (wavelet, “sym6,” level 5).

Mentions: The method of wavelet transform can reduce the ambiguities and accuratelyanalyze the variation trend of the SALS signal. As shown in Figure 11(a),the variation trend of the originalintensity signal (S)is not clear. After multirevolution analysis by wavelet “sym6,” the variation trend of the intensity is obvious as shown in Figure11(f). As shown in Figures 11(b)–11(f), Caj (j = 1, 2, 3, 4, 5) arethe wavelet approximationcoefficients of levels 1–5. It is illustrated that the orientationof molecular chain increases because light intensity is proportional toorientation of molecular chain.


An Effective On-line Polymer Characterization Technique by Using SALS Image Processing Software and Wavelet Analysis.

Xian GM, Qu JP, Zeng BQ - J Autom Methods Manag Chem (2009)

On-linevariation trend analysis of theSALS signal by wavelet analysis (wavelet, “sym6,” level 5).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2643006&req=5

fig11: On-linevariation trend analysis of theSALS signal by wavelet analysis (wavelet, “sym6,” level 5).
Mentions: The method of wavelet transform can reduce the ambiguities and accuratelyanalyze the variation trend of the SALS signal. As shown in Figure 11(a),the variation trend of the originalintensity signal (S)is not clear. After multirevolution analysis by wavelet “sym6,” the variation trend of the intensity is obvious as shown in Figure11(f). As shown in Figures 11(b)–11(f), Caj (j = 1, 2, 3, 4, 5) arethe wavelet approximationcoefficients of levels 1–5. It is illustrated that the orientationof molecular chain increases because light intensity is proportional toorientation of molecular chain.

Bottom Line: This paper describes an effective on-line polymer characterization technique by using small-angle light-scattering (SALS) image processing software and wavelet analysis.The current study utilizes a one-dimensional wavelet to delete noise from the original SALS signal and estimate the variation trend of maximum intensity area of the scattered light.So, the system brought the qualitative analysis of the structural information of transparent film success.

View Article: PubMed Central - PubMed

Affiliation: Computer Engineering Department, South China Normal University, Foshan, Guangdong 528225, China.

ABSTRACT
This paper describes an effective on-line polymer characterization technique by using small-angle light-scattering (SALS) image processing software and wavelet analysis. The phenomenon of small-angle light scattering has been applied to give information about transparent structures on morphology. Real-time visualization of various scattered light image and light intensity matrices is performed by the optical image real-time processing software for SALS. The software can measure the signal intensity of light scattering images, draw the frequency-intensity curves and the amplitude-intensity curves to indicate the variation of the intensity of scattered light in different processing conditions, and estimate the parameters. The current study utilizes a one-dimensional wavelet to delete noise from the original SALS signal and estimate the variation trend of maximum intensity area of the scattered light. So, the system brought the qualitative analysis of the structural information of transparent film success.

No MeSH data available.