織物圖像分析軟件設(shè)計(jì)及與超寬幅掃描儀的配套應(yīng)用
本文選題:數(shù)字圖像 切入點(diǎn):TWAIN 出處:《浙江理工大學(xué)》2013年碩士論文 論文類型:學(xué)位論文
【摘要】:掃描儀是一種把模擬影像轉(zhuǎn)化為數(shù)字影像的光機(jī)電一體化設(shè)備產(chǎn)品,廣泛應(yīng)用于出版、印刷、廣告制作、圖文通訊等多個(gè)領(lǐng)域。而在紡織工業(yè)領(lǐng)域中,紡織品幅面一般較大,普通寬幅掃描儀及其配套軟件大多無法滿足織造行業(yè)的尺寸要求,因此,必須使用超寬幅面的掃描儀對織物進(jìn)行圖像掃描。當(dāng)前,國內(nèi)市場上超寬幅面的掃描儀數(shù)量相對較少,配套軟件資源也相對匱乏,在此市場背景下,設(shè)計(jì)研發(fā)了一款超寬幅掃描儀良好的解決了紡織品的掃描問題,為此超寬幅掃描儀開發(fā)一款與之配套的軟件系統(tǒng)正是本課題的研究目的所在。 軟件系統(tǒng)通過編寫遵循TWAIN協(xié)議的標(biāo)準(zhǔn)接口程序?qū)⒖椢镬o態(tài)圖像從超寬幅掃描儀上傳輸?shù)綉?yīng)用程序中,實(shí)現(xiàn)計(jì)算機(jī)與超寬幅掃描儀的圖像數(shù)據(jù)傳輸。然后通過加權(quán)平均、中值濾波等方法對獲取的織物圖像進(jìn)行灰度化、消除噪聲等預(yù)處理,并在此基礎(chǔ)上利用空間坐標(biāo)變換、像素灰度內(nèi)插等方法對織物圖像獲取過程中出現(xiàn)的失真圖像加以幾何校正。最后,綜合利用Hough變換、二值化處理、Sobel算子細(xì)化等一系列圖像處理和識別方法對織物圖像進(jìn)行邊緣檢測,實(shí)現(xiàn)對紡織產(chǎn)品質(zhì)量的控制,增強(qiáng)了整個(gè)系統(tǒng)的實(shí)用性。此外,為了提高軟件系統(tǒng)的適用性,在配套軟件中添加了圖像局部細(xì)節(jié)放大、圖像旋轉(zhuǎn)、格式轉(zhuǎn)換等圖像查看功能以及圖像自由裁剪、畫筆、橡皮擦等圖像編輯工具。 在初步試驗(yàn)中,應(yīng)用程序運(yùn)行效果良好,,在TWAIN協(xié)議的保障下能夠快速地從超寬幅掃描儀上獲取織物圖像,并可以準(zhǔn)確顯示織物疵點(diǎn)信息,結(jié)合其他功能模塊設(shè)計(jì),應(yīng)用程序提供了一個(gè)方便的可視化操作界面,使技術(shù)人員可以及時(shí)了解產(chǎn)品質(zhì)量問題,并可通過程序相關(guān)設(shè)計(jì)對織物圖像進(jìn)行編輯。掃描檢測技術(shù)應(yīng)用前景廣闊,但是,目前國內(nèi)超寬幅掃描儀市場尚未成熟,織物檢測關(guān)鍵技術(shù)的研究狀況仍處于初級階段,尚需進(jìn)一步提高自動檢測技術(shù)水平。
[Abstract]:Scanner is a kind of optical-electromechanical equipment which converts analog image into digital image. It is widely used in publishing, printing, advertisement making, graphic and text communication and other fields. Most of the general wide-width scanners and their supporting software can not meet the size requirements of the weaving industry, so we must use ultra-wide-format scanners to scan the fabrics. At present, the number of ultra-wide-format scanners in the domestic market is relatively small. The matching software resources are also relatively scarce. Under this market background, the design and development of an ultra-wide scanner has solved the problem of textile scanning well. Therefore, the purpose of this research is to develop a matching software system for ultra-wide scanners. The software system transmits the fabric static image from the ultra-wide scanner to the application program by writing the standard interface program following the TWAIN protocol, and realizes the image data transmission between the computer and the ultra-wide scanner. On the basis of the method of median filter, the fabric image is grayscale, noise is eliminated, and the space coordinate transformation is used. Pixel grayscale interpolation and other methods are used to geometric correct the distorted image in the process of obtaining fabric image. Finally, the Hough transform is used synthetically. In order to improve the applicability of the software system, a series of image processing and recognition methods such as binary processing and Sobel operator thinning are used to detect the edges of fabric images, which can control the quality of textile products and enhance the practicability of the whole system. Image viewing functions such as image local detail amplification image rotation format conversion and image editing tools such as image cutting brush eraser and other image editing tools are added in the matching software. In the preliminary test, the application program works well. Under the guarantee of TWAIN protocol, the fabric image can be quickly obtained from the ultra-wide scanner, and the fabric defect information can be accurately displayed. The application can be designed with other functional modules. The application program provides a convenient visual operating interface, which enables technicians to understand product quality problems in a timely manner, and can edit fabric images through program related design. At present, the domestic market of ultra-wide scanners is not mature, the research status of the key technology of fabric detection is still in the primary stage, and it is necessary to further improve the level of automatic detection technology.
【學(xué)位授予單位】:浙江理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TP334.22;TP391.41
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