【摘要】：隨著現(xiàn)代工業(yè)生產(chǎn)中數(shù)字化程度的進(jìn)一步加深，高精度海量數(shù)據(jù)采集系統(tǒng)在其中起到關(guān)鍵作用。傳統(tǒng)低精度低速掃描由于對(duì)原始數(shù)據(jù)的采樣率不夠，容易造成采集圖像變形，采集和處理速度緩慢，已經(jīng)不能適應(yīng)行業(yè)的發(fā)展需求。因此對(duì)原始數(shù)據(jù)采集的精細(xì)化，快速化作為數(shù)字處理前端，其發(fā)展趨勢(shì)也顯而易見(jiàn)，針對(duì)高分辨率和高速圖像的采集也應(yīng)運(yùn)而生。 大幅面掃描儀使用CCD線陣高分辨率高速掃描的技術(shù)手段已成為大勢(shì)所趨。隨著國(guó)外工業(yè)自動(dòng)化技術(shù)的迅速發(fā)展，許多國(guó)外公司紛紛跟進(jìn)并研發(fā)出滿足特定需求的LFS(large format scanner)系統(tǒng)并占據(jù)了大量市場(chǎng)份額呈壟斷狀態(tài)，，由于國(guó)內(nèi)對(duì)LFS系統(tǒng)的研究起步較晚，許多類型的LFS設(shè)備完全依賴于進(jìn)口。因此，研究具有自主知識(shí)產(chǎn)權(quán)的大幅面光電掃描儀系統(tǒng)具有非常重要的意義。 本文針對(duì)LFS系統(tǒng)中涉及的核心技術(shù)及其技術(shù)難點(diǎn)，詳盡的從硬件和軟件結(jié)構(gòu)進(jìn)行分析研究，從而提出了針對(duì)大幅面光電掃描儀適用的海量圖像數(shù)據(jù)的并行采集方法和色彩校正算法，以更好的滿足實(shí)際應(yīng)用需求。主要內(nèi)容包含： （1）大幅面光電掃描儀采集系統(tǒng)硬件模塊設(shè)計(jì)，使用無(wú)頻閃LED光學(xué)系統(tǒng)，配合DALSA高速采集卡與高分辨率CCD傳感器采集并轉(zhuǎn)換亮度信息得到原始圖像信息； （2）并行采集系統(tǒng)采用多核處理器并行工作方式，用自建鏈?zhǔn)酱鎯?chǔ)模型對(duì)內(nèi)存進(jìn)行管理，并動(dòng)態(tài)同步管理多線程采集得到的圖像數(shù)據(jù)，增強(qiáng)整個(gè)系統(tǒng)的穩(wěn)定性，讓采集效率得到提高； （3）應(yīng)用顏色空間理論從圖像產(chǎn)生的過(guò)程進(jìn)行分析，提出了針對(duì)大幅面光電掃描儀適合的色彩校正算法，從而能夠在短時(shí)間內(nèi)完成顏色空間轉(zhuǎn)化和顏色還原，使得整個(gè)采集系統(tǒng)的圖像輸出效果得到優(yōu)化； （4）從機(jī)器視覺(jué)原理分析并完成SIFT特征點(diǎn)的提取算法，使得多幅圖像的高精度拼接要求得到滿足，大幅面掃描儀中使用SIFT算法進(jìn)行拼接在國(guó)內(nèi)未見(jiàn)報(bào)道。
[Abstract]:With the further deepening of digitization in modern industrial production, high-precision mass data acquisition system plays a key role in it. Traditional low-precision low-speed scanning can not meet the needs of the development of the industry because of the insufficient sampling rate of the original data, which is easy to cause image distortion and slow acquisition and processing speed. As the front-end of digital processing, the fine and fast acquisition of raw data has obvious development trend, and the acquisition of high-resolution and high-speed images has emerged as the times require.
With the rapid development of industrial automation technology abroad, many foreign companies have followed up and developed the LFS (large format scanner) system to meet the specific needs and occupied a large market share in a monopoly state, because of the domestic L-FS (large format scanner) system. The research of FS system started late, and many types of LFS equipment depend entirely on imports. Therefore, it is very important to study the large-area photoelectric scanner system with independent intellectual property rights.
In this paper, the core technology and its technical difficulties involved in LFS system are analyzed and studied in detail from the hardware and software structure. A parallel acquisition method and color correction algorithm for large-scale photoelectric scanner are proposed to better meet the practical application requirements.
(1) The hardware module of the acquisition system of large-scale photoelectric scanner is designed. The original image information is acquired by using non-stroboscopic LED optical system, DALSA high-speed acquisition card and high-resolution CCD sensor.
(2) The parallel acquisition system uses multi-core processors to work in parallel, uses self-built chain memory model to manage memory, and dynamically synchronizes the image data collected by multi-threading, which enhances the stability of the whole system and improves the acquisition efficiency.
(3) Color space theory is applied to analyze the process of image generation, and a suitable color correction algorithm for large-scale photoelectric scanner is proposed, so that color space conversion and color restoration can be completed in a short time, so that the image output effect of the whole acquisition system is optimized.
(4) By analyzing the principle of machine vision and completing the extraction algorithm of SIFT feature points, the requirement of high-precision mosaic of multiple images is satisfied. It has not been reported in China that large-scale scanner uses SIFT algorithm for mosaic.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP274.2;TP391.41

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