Investigation on Particle Sizing by using Fourier Optical pattern recognition technique

碩士 === 國立成功大學 === 航空太空工程學系 === 84 === Characterizing small particles is an important subject in many engineering fields, especially in combustion fuel spray smoke formation researchs .The most common measurement is particle-sizing. Alt...

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Main Authors: HEN-HWA KANG, 康恆華
Other Authors: SHENG-MAO TIENG
Format: Others
Language:zh-TW
Published: 1995
Online Access:http://ndltd.ncl.edu.tw/handle/65456913141143639849
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spelling ndltd-TW-084NCKU02950772016-02-05T04:16:27Z http://ndltd.ncl.edu.tw/handle/65456913141143639849 Investigation on Particle Sizing by using Fourier Optical pattern recognition technique 富利葉光學圖像辨識技術應用於小粒子測徑之研究 HEN-HWA KANG 康恆華 碩士 國立成功大學 航空太空工程學系 84 Characterizing small particles is an important subject in many engineering fields, especially in combustion fuel spray smoke formation researchs .The most common measurement is particle-sizing. Although various optical techniques for particle sizing , such as laser scattering, LDA gating and Fraunhofer diffraction technique , have developed ,no single technique has been found capable of sa- tisfactory measurement which occures in practical application.They a usually time- consuming and need to propose many assumptions about the particles itself.Morever,it seems to be difficult to realize real-time diagnostics by using these techniques Therefore , there is still intense interest in searching for more reliable and effective techniq- ues with acceptable quality. Due to introduced of the new filter (Size-vari able computer generated filter) , the convenient 4F Fourier optical system having single configura- tion easier operation ability can be used.The measuring results by using this new matched filter were compared with the data obtained by using previous filter.The Size-variable computer generat ed filter combined with 4F system was shown to have better discrimination and measurement accura- cy. SHENG-MAO TIENG 丁勝懋 1995 學位論文 ; thesis 300 zh-TW
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language zh-TW
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description 碩士 === 國立成功大學 === 航空太空工程學系 === 84 === Characterizing small particles is an important subject in many engineering fields, especially in combustion fuel spray smoke formation researchs .The most common measurement is particle-sizing. Although various optical techniques for particle sizing , such as laser scattering, LDA gating and Fraunhofer diffraction technique , have developed ,no single technique has been found capable of sa- tisfactory measurement which occures in practical application.They a usually time- consuming and need to propose many assumptions about the particles itself.Morever,it seems to be difficult to realize real-time diagnostics by using these techniques Therefore , there is still intense interest in searching for more reliable and effective techniq- ues with acceptable quality. Due to introduced of the new filter (Size-vari able computer generated filter) , the convenient 4F Fourier optical system having single configura- tion easier operation ability can be used.The measuring results by using this new matched filter were compared with the data obtained by using previous filter.The Size-variable computer generat ed filter combined with 4F system was shown to have better discrimination and measurement accura- cy.
author2 SHENG-MAO TIENG
author_facet SHENG-MAO TIENG
HEN-HWA KANG
康恆華
author HEN-HWA KANG
康恆華
spellingShingle HEN-HWA KANG
康恆華
Investigation on Particle Sizing by using Fourier Optical pattern recognition technique
author_sort HEN-HWA KANG
title Investigation on Particle Sizing by using Fourier Optical pattern recognition technique
title_short Investigation on Particle Sizing by using Fourier Optical pattern recognition technique
title_full Investigation on Particle Sizing by using Fourier Optical pattern recognition technique
title_fullStr Investigation on Particle Sizing by using Fourier Optical pattern recognition technique
title_full_unstemmed Investigation on Particle Sizing by using Fourier Optical pattern recognition technique
title_sort investigation on particle sizing by using fourier optical pattern recognition technique
publishDate 1995
url http://ndltd.ncl.edu.tw/handle/65456913141143639849
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