發(fā)布時(shí)間：2018-06-12 23:09

  本文選題：QR碼 + 失真　； 參考：《暨南大學(xué)》2015年碩士論文

【摘要】：快速響應(yīng)碼(Quick Response Code)也稱QR碼,屬于二維碼的一種。近幾年QR碼在生活中應(yīng)用越來越廣泛,特別是在移動互聯(lián)網(wǎng)發(fā)展起來之后,QR碼到處便利著我們的生活。QR碼是由日本的豐田公司旗下的電裝公司Denso wave在1994年研發(fā)出來的,QR碼和其他條碼比較有很明顯的優(yōu)勢,包括存儲容量大、數(shù)據(jù)類型豐富、安全穩(wěn)定性高等;所以QR碼被廣泛應(yīng)用在很多行業(yè),包括物流行業(yè)、倉儲行業(yè)、圖書行業(yè)、郵政系統(tǒng)、交通領(lǐng)域等。在移動互聯(lián)網(wǎng)逐漸發(fā)展起來之后,QR碼又在移動互聯(lián)網(wǎng)中占據(jù)了重要地位,如今很多被大眾熟知的移動應(yīng)用都帶有條碼掃描的功能,QR碼極大地方便了移動應(yīng)用中查詢、支付、下載等功能,這一個(gè)小小的符號逐漸深入影響著我們的生活。當(dāng)然QR碼在逐漸發(fā)展和推廣的同時(shí)也會有一系列的相關(guān)問題。實(shí)際應(yīng)用中,QR碼所處的環(huán)境多變:電子屏幕、印刷品上、戶外廣告上等等,自然對于采集到QR碼圖像會有諸多影響,可能會出現(xiàn)傾斜失真、幾何失真、光照不均等問題,可能會導(dǎo)致QR碼無法準(zhǔn)確識別。所以在對QR碼解碼前,需要對QR碼進(jìn)行一系列圖像預(yù)處理過程消除失真問題,得到一個(gè)標(biāo)準(zhǔn)規(guī)格的QR碼。本文圍繞QR碼在采集過程中可能會出現(xiàn)的問題進(jìn)行了研究。關(guān)于光照不均勻、傾斜和幾何失真,需要對圖像進(jìn)行灰度化、去噪、二值化、傾斜校正、幾何校正和取樣,研究每個(gè)預(yù)處理過程的已有算法。著重對QR碼的幾何失真和取樣進(jìn)行了研究,在傾斜校正的基礎(chǔ)上圖像的幾何校正中的關(guān)鍵點(diǎn)是對QR碼的四個(gè)頂點(diǎn)進(jìn)行定位,本文根據(jù)QR碼的自身特點(diǎn)提出一種新的頂點(diǎn)定位方法,相對于傳統(tǒng)方法的邊緣檢測和Hough變換更簡單方便易于操作;幾何校正后,有一些幾何失真較嚴(yán)重的QR碼仍帶有模塊不均勻的問題,傳統(tǒng)的取樣方法無法準(zhǔn)確地對其進(jìn)行準(zhǔn)確取樣,所以在此基礎(chǔ)上,本文提出一種自適應(yīng)匹配的取樣方法,可以準(zhǔn)確地對幾何校正后仍然帶有失真的QR碼進(jìn)行取樣并且提高了效率,在實(shí)際應(yīng)用中具有一定的研究價(jià)值。最后對全文做了總結(jié),以及對往后的工作進(jìn)行了展望。
[Abstract]:Quick response Code (QR code), also called QR code, belongs to two dimensional code. In recent years, QR codes have been used more and more widely in daily life. Especially after the development of the mobile Internet, QR codes are everywhere to facilitate our lives. QR codes, developed in 1994 by Denso wave, an electric equipment company owned by Toyota Corporation in Japan, have obvious advantages over other bar codes. QR code is widely used in many industries, including logistics industry, storage industry, book industry, postal system, transportation and so on. After the gradual development of mobile Internet, QR code occupies an important position in mobile Internet. Nowadays, many well-known mobile applications have the function of bar code scanning, QR code greatly facilitates query and payment in mobile applications. Download and other functions, this small symbol is gradually affecting our lives. Of course, QR codes in the gradual development and promotion will also have a series of related problems. In practical applications, QR codes are in a changeable environment: electronic screens, printed materials, outdoor advertisements, etc., naturally have a lot of effects on the acquisition of QR code images, which may lead to skew distortion, geometric distortion, and uneven illumination. QR codes may not be recognized accurately. Therefore, before decoding QR codes, a series of image preprocessing processes are needed to eliminate distortion problems and to obtain a standard QR code. In this paper, the possible problems in the acquisition of QR codes are studied. For illumination inhomogeneity, tilt and geometric distortion, gray scale, denoising, binarization, skew correction, geometric correction and sampling are needed to study the existing algorithms for each preprocessing process. The geometric distortion and sampling of QR codes are studied emphatically. The key point of image geometric correction based on tilt correction is to locate the four vertices of QR codes. According to the characteristics of QR codes, a new vertex location method is proposed in this paper, which is simpler and easier to operate than the traditional methods such as edge detection and Hough transform. Some QR codes with serious geometric distortion still have the problem of module inhomogeneity, which can not be accurately sampled by traditional sampling methods. Therefore, an adaptive matching sampling method is proposed in this paper. The QR codes with distortion after geometric correction can be sampled accurately and the efficiency is improved. It has certain research value in practical application. At last, the paper summarizes the whole paper and looks forward to the future work.
【學(xué)位授予單位】：暨南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TP391.41

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本文編號：2011441