本文選題：柱面校正 + 三維標(biāo)定　； 參考：《天津科技大學(xué)》2016年碩士論文

【摘要】：隨著經(jīng)濟(jì)的發(fā)展,人們生活水平不斷提高,食品的品質(zhì)和安全已經(jīng)成為社會(huì)關(guān)注的焦點(diǎn)。人們對(duì)食品生產(chǎn)的要求也變的越來越高,生產(chǎn)日期是我們?cè)u(píng)估食品安全與否的一個(gè)重要標(biāo)準(zhǔn),因此,保證生產(chǎn)日期等相關(guān)信息正確清晰的標(biāo)注是食品生產(chǎn)過程中的一個(gè)重要環(huán)節(jié)。利用機(jī)器視覺技術(shù)進(jìn)行相關(guān)信息標(biāo)注的缺陷檢測(cè)具有非常廣闊的市場(chǎng)需求。本文對(duì)于打印在瓶體/瓶蓋表面的字符信息的缺陷檢測(cè)方法進(jìn)行了研究。由于瓶體的形狀,表面打印的字符和標(biāo)簽不可避免的會(huì)發(fā)生變形,這些變形會(huì)對(duì)后續(xù)的圖像分割、字符識(shí)別和缺陷檢測(cè)等環(huán)節(jié)造成很大的困難。研究了基于三維標(biāo)定的柱面圖像校正算法,該方法利用三維標(biāo)定準(zhǔn)確計(jì)算出真實(shí)場(chǎng)景中瓶體相對(duì)相機(jī)的位姿,然后借助標(biāo)定的位姿信息還原出瓶體的三維模型,建立起瓶體表面點(diǎn)與圖像像素點(diǎn)之間的聯(lián)系,從而將柱面展開為平面。通過圖像的校正后,瓶體表面的標(biāo)簽和字符都被展開標(biāo)準(zhǔn)圖像,大大降低了識(shí)別和缺陷檢測(cè)的難度。字符識(shí)別與檢測(cè)的具體步驟為:首先對(duì)展開后的字符圖像進(jìn)行字符分割,然后提取字符的一些特征組合來完成多層感知器識(shí)別模型的訓(xùn)練對(duì)字符進(jìn)行識(shí)別。最后利用模板對(duì)比的方法將合格字符圖像模板與待檢字符模板進(jìn)行詳細(xì)對(duì)比完成字符缺陷的檢測(cè)。本文還設(shè)計(jì)了一套自動(dòng)光學(xué)識(shí)別和檢測(cè)系統(tǒng),根據(jù)圖像校正后的結(jié)果將不同角度拍攝的瓶體圖像拼接出360度全景圖像,探索了瓶體表面標(biāo)簽任意位置信息的識(shí)別和檢測(cè),大大擴(kuò)展了系統(tǒng)的應(yīng)用范圍。
[Abstract]:With the development of economy and the improvement of people's living standard, the quality and safety of food have become the focus of attention. People's requirements for food production are also becoming higher and higher. Production dates are an important criterion for our assessment of food safety, so, It is an important step in the food production process to ensure that the relevant information such as production date is correctly and clearly marked. There is a broad market demand for defect detection of information tagging using machine vision technology. In this paper, the defect detection method of character information printed on the bottle / bottle cap surface is studied. Because of the shape of the bottle, the characters and labels printed on the surface will inevitably deform, which will cause great difficulties to the subsequent image segmentation, character recognition and defect detection. The cylindrical image correction algorithm based on 3D calibration is studied. The method uses 3D calibration to accurately calculate the position of the bottle body relative to the camera in the real scene, and then restores the three-dimensional model of the bottle body by using the calibrated position and pose information. The relationship between the surface points of the bottle and the pixel points of the image is established, and the cylinder is expanded into a plane. After image correction, the labels and characters on the bottle surface are expanded into standard images, which greatly reduces the difficulty of recognition and defect detection. The specific steps of character recognition and detection are as follows: first, character segmentation is carried out on the expanded character image, and then some feature combinations of characters are extracted to complete the training of multi-layer perceptron recognition model for character recognition. Finally, the qualified character image template and the character template to be checked are compared to complete the character defect detection. An automatic optical recognition and detection system is also designed in this paper. According to the results of image correction, 360 degree panoramic images are stitched from different angles, and the recognition and detection of arbitrary position information of bottle surface labels are explored. The application range of the system is greatly expanded.
【學(xué)位授予單位】：天津科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TS297;TP391.41

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