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利用傅氏光學於金屬扣件之外觀形貌辨識及檢測技術研究 = Appearan...
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國立高雄大學電機工程學系--工業技術整合產業研發碩士專班
利用傅氏光學於金屬扣件之外觀形貌辨識及檢測技術研究 = Appearance Identification of Fasteners by Using Fourier Optics and Analysis
紀錄類型:
書目-語言資料,印刷品 : 單行本
並列題名:
Appearance Identification of Fasteners by Using Fourier Optics and Analysis
作者:
黃瓊萱,
其他團體作者:
國立高雄大學
出版地:
[高雄市]
出版者:
撰者;
出版年:
2012[民101]
面頁冊數:
57面圖,表格 : 30公分;
標題:
傅氏光學
標題:
Fourier Optics
電子資源:
http://handle.ncl.edu.tw/11296/ndltd/71540818954676396664
附註:
參考書目:面47-49
摘要註:
本論文主要利用一相差顯微影像系統(Phase contrast imaging),將物體之邊緣輪廓高繞射角度之光成像,並以傅氏光學轉換(Fourier Transform)影像分析方法來判別螺絲的外觀形貌種類。實驗主要是架設一638 nm He-Ne雷射傅氏光學影像系統,配合一高通空間濾波器(high pass spatial filter)的製作,使用一CCD光耦合元件(Charge Couple Device)將螺絲的輪廓影像精確紀錄下來,再利用傅氏影像分析計算演算方法,進行螺絲形貌比對與辦定。影像辨識過程分成兩大部分,第一部分,透過一影像擷取程式(Matrox Inspector)之影像前處理,將CCD紀錄的原始影像檔轉換成傅氏轉換標準的矩陣檔,第二部分再透過Matlab程式之傅氏轉換演算辨識分析螺絲之外貌。相差顯微影像方法可以獲得精確的螺絲輪廓,經過傅氏轉換演算法可快速判斷螺絲之形貌種類,達到螺絲扣件形貌的自動化分析與判別功能,可以提升扣件之生產及品管自動化,有助於扣件螺絲產業之現代化與永續經營。 In this thesis, a phase contrast microscopic imaging system based on Fourier Optics was developed to achieve high contrast contour image of a screw or metal fastener. Then by applying numerical Fourier transform method to identify the characteristic features of the tested screw object with a reference screw’s pattern. By the function of high frequency spatial filter in Fourier optic system, It is accurately and efficiently to achieve clear edge image of the object. The image identification process were consisted by two parts, in the first, an image processor (Matrox Inspector) was used to record and transform to a standard format of image matrix for processing by Fourier transformation. Then an image identification algorithm based on the Matlab programming frame was used to calculate the result of image convolution of the tested object. We demonstrate that the Fourier optics system for phase contrast microscopic image is easy to achieve accurate contour image of a screw and is effectively to identify features of a screw by numerical algorithm based on Fourier transformation, and to promote the status of automation and quality control in screws production. In addition, it is our goal to ignite the screws and metal fasteners industry renovation and enterprising by the inspiration of this research.
利用傅氏光學於金屬扣件之外觀形貌辨識及檢測技術研究 = Appearance Identification of Fasteners by Using Fourier Optics and Analysis
黃, 瓊萱
利用傅氏光學於金屬扣件之外觀形貌辨識及檢測技術研究
= Appearance Identification of Fasteners by Using Fourier Optics and Analysis / 黃瓊萱撰 - [高雄市] : 撰者, 2012[民101]. - 57面 ; 圖,表格 ; 30公分.
參考書目:面47-49.
傅氏光學Fourier Optics
利用傅氏光學於金屬扣件之外觀形貌辨識及檢測技術研究 = Appearance Identification of Fasteners by Using Fourier Optics and Analysis
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本論文主要利用一相差顯微影像系統(Phase contrast imaging),將物體之邊緣輪廓高繞射角度之光成像,並以傅氏光學轉換(Fourier Transform)影像分析方法來判別螺絲的外觀形貌種類。實驗主要是架設一638 nm He-Ne雷射傅氏光學影像系統,配合一高通空間濾波器(high pass spatial filter)的製作,使用一CCD光耦合元件(Charge Couple Device)將螺絲的輪廓影像精確紀錄下來,再利用傅氏影像分析計算演算方法,進行螺絲形貌比對與辦定。影像辨識過程分成兩大部分,第一部分,透過一影像擷取程式(Matrox Inspector)之影像前處理,將CCD紀錄的原始影像檔轉換成傅氏轉換標準的矩陣檔,第二部分再透過Matlab程式之傅氏轉換演算辨識分析螺絲之外貌。相差顯微影像方法可以獲得精確的螺絲輪廓,經過傅氏轉換演算法可快速判斷螺絲之形貌種類,達到螺絲扣件形貌的自動化分析與判別功能,可以提升扣件之生產及品管自動化,有助於扣件螺絲產業之現代化與永續經營。 In this thesis, a phase contrast microscopic imaging system based on Fourier Optics was developed to achieve high contrast contour image of a screw or metal fastener. Then by applying numerical Fourier transform method to identify the characteristic features of the tested screw object with a reference screw’s pattern. By the function of high frequency spatial filter in Fourier optic system, It is accurately and efficiently to achieve clear edge image of the object. The image identification process were consisted by two parts, in the first, an image processor (Matrox Inspector) was used to record and transform to a standard format of image matrix for processing by Fourier transformation. Then an image identification algorithm based on the Matlab programming frame was used to calculate the result of image convolution of the tested object. We demonstrate that the Fourier optics system for phase contrast microscopic image is easy to achieve accurate contour image of a screw and is effectively to identify features of a screw by numerical algorithm based on Fourier transformation, and to promote the status of automation and quality control in screws production. In addition, it is our goal to ignite the screws and metal fasteners industry renovation and enterprising by the inspiration of this research.
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