Applying Wavelet Transfor technology to the examination of pharmaceutical bottles stain
Date Issued
2011
Date
2011
Author(s)
Yang, Chou-Chuan
Abstract
In today’s world, the trend to seek superior quality and utmost profit has become an absolute priority.To increase production quantity while decreasing costs and labors becomes one single most important challenge in the field of product productions. The ability to provide stable quality in raw materials helps to maintain consistent quality in final products. This can greatly reduce complex or unnecessary testing procedures, hence, simplifying the production process as a whole.
This thesis provides an example of such, targeting specifically at the bottling production of the pharmaceutical industry. A consumer perceives the first impression and confidence rating of a pharmaceutical product mainly from the bottling or packaging. Even though the bottling appearance does not actually affect the quality of a drug, any impurity or stain in the packaging can drastically impair a consumer’s confidence in the quality of the medicine. This is the reason why the bottling industry for pharmaceutical companies includes the evaluation for visible stain and impurity as one of their main testing procedures.
Wavelet Transform is an excellent technique for signal analysis. It offers technologies to determine specified signal, to evaluate low entropy, to form multiresolution analysis, to extract from correlation analysis, and it providesextensive wavelet bases. All of which makes Wavelet Transform exceptional in signal De-noise.
This thesis proposes a method applying Wavelet Transform to the testing of pharmaceutical bottles. Wavelet Transform gives advantages to the De-noise of bottle surface resolution. 2D Wavelet Transform can De-noise signal resolutions from coarse to smooth without damaging the original resolutions, while compressing the resolution. Furthermore,using the singular points function from 1D Wavelet Transform can replace the traditional pattern matching function and its threshold limitation. Such method can detect stain from the coarseness on the bottle surfacemuch more in-depth.
Using the LabVIEW software from National Instruments,this thesis presents an integrated software program includingall of the Wavelet Transform functions mentioned above. The proposed program offers an innovativestrategy for the testing and analysis of bottle surface stain. It elevates the functionality and effectiveness of the bottle stain examination used by the current pharmaceutical industry.
Subjects
Wavelet
Daubechies
curved surface
Digital Filter
Windowing
singular points
stain
Type
thesis
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