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OALib Journal期刊
ISSN: 2333-9721
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Strain Gauge Image De-Noising Based on Fuzzy Morphology
基于模糊形态学的应变片去噪

Keywords: fuzzy morphology,membership function,fuzzy dilation,fuzzy erode
模糊形态学
,隶属函数,模糊膨胀,模糊腐蚀

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Abstract:

Suppressing the noise of strain gauge in acquisition and transmission is the key in identification and installation. For blurring the details while using the morphology to de-noise. This paper introduces a new algorithm for de-noise the strain gauge image by dividing the image and giving the fuzzy morphology operation, then open and close operation are applied to image to realize de-noise. The simulations in this paper prove that it can perfectly restrain noise and keep image details.

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