基于LABVIEW的圖像處理編程實(shí)現(xiàn)
LABVIEW-based image processing program

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目錄
第一章 緒論 8
1.1 圖像處理技術(shù)發(fā)展歷史 8
1.2 國(guó)內(nèi)外研究現(xiàn)狀和技術(shù)難題 10
1.3 選題的目的和意義 12
第二章 阿貝爾空間濾波的原理及虛擬儀器（VI）平臺(tái) 13
2.1 空間濾波的原理 13
2.1.1 阿貝成像原理 16
2.1.2 光學(xué)空間濾波 18
2.2 虛擬儀器（VI）平臺(tái)的介紹 19
2.2.1 虛擬儀器的硬件系統(tǒng) 19
2.2.2 虛擬儀器的軟件系統(tǒng) 20
第三章 基于LABVIEW阿貝空間濾波器的實(shí)現(xiàn) 22
3.1 軟件的編程思路 22
3.2 labview的編程 22
3.2.1 調(diào)入圖像 23
3.2.2 濾波器的設(shè)計(jì) 24
3.2.3 主程序 26
3.3 結(jié)果分析 26
3.3.1 頻譜面光強(qiáng)分布 26
3.3.2 像平面的光強(qiáng)分布 27
3.3.3濾波后 28
第四章 總結(jié)和展望 32
4.1 總結(jié) 32
4.2 展望 32
致 謝 33
參考文獻(xiàn) 34




摘要：對(duì)圖像進(jìn)行處理分為：數(shù)字圖像處理和模擬圖像處理。利用可視化軟件來編寫一個(gè)數(shù)字圖像處理程序，實(shí)現(xiàn)圖像的讀取和低通高通濾波，最終獲得圖像的特定細(xì)節(jié)，是本畢業(yè)設(shè)計(jì)的目的。
本文首先介紹了LABVIEW軟件、阿貝成像原理和空間濾波原理的基本知識(shí)。根據(jù)阿貝成像原理，用LABVIEW軟件設(shè)計(jì)了簡(jiǎn)單的濾波器；設(shè)計(jì)了圖像讀取模塊；利用設(shè)計(jì)好的程序?qū)ψx入圖像進(jìn)行低通或高通濾波處理。圖像經(jīng)過低通處理后獲得內(nèi)部細(xì)節(jié)，圖像經(jīng)過高通處理后獲得輪廓細(xì)節(jié)。該論文的成果對(duì)工程實(shí)踐有一定指導(dǎo)價(jià)值。

關(guān)鍵詞：數(shù)字圖像處理 阿貝成像 空間濾波 LABVIEW




LABVIEW-based image processing program

Abstract: Image processing has two categories: digital image processing and analog image processing. The object of this paper is to develop one digital image processing program based on the visualization software--LabView, realizing reading images from outer document and then process the images with low-pass or high-pass filter, eventually obtaining the specific details of the image.
This paper firstly introduces the basic knowledge of LABVIEW software, Abbe imaging principle and spatial filtering principle. According to the Abbe imaging principle and using LABVIEW software, image reading module, low-pass filter and high-pass filter were designed. The processed results are as follows. When using low-pass filter, the important inner details can be obtained. When using high-pass filter, the outer profile details can be extracted. The results have a certain guiding significance for engineering practice.

Keywords: Digital image processing, Abbe imaging, spatial filtering, LABVIEW