本文關(guān)鍵詞： 方便面 桶式包裝 缺陷檢測 檢測軟件　出處：《哈爾濱商業(yè)大學》2017年碩士論文　論文類型：學位論文

【摘要】：桶式方便面的包裝過程中紙質(zhì)方便面桶,會在流水生產(chǎn)線上經(jīng)過投送、放入面餅、放入料包、壓貼頂蓋、壓貼表面包裝、塑皮封裝等多道工序。在多步流水作業(yè)過程中,因為受力和擺放位置等誤差,難免出現(xiàn)桶體發(fā)生形變、桶底出現(xiàn)穿孔、桶底沾染臟物等包裝缺陷,這種包裝質(zhì)量問題如果無法有效避免,不僅將大大影響消費者的利益,也會影響到方便面生產(chǎn)商的經(jīng)濟利益。對于方便面桶式包裝的缺陷檢測,視覺檢測系統(tǒng)以攝像機為核心傳感器,進而以圖像處理、模式識別等算法為核心軟件技術(shù),可以有效地完成方便面桶的缺陷檢測。視覺檢測屬于典型的非接觸測量,不會對方便面桶造成二次破壞;圖像處理和模式識別等算法,以軟件的方式完成對包裝缺陷的檢測,可以大大提高檢測實時性和檢測效率。本文開展的研究工作如下,第一,對大桶、小桶兩類方便面桶進行了圖像層面的描述,進而分析了其可能出現(xiàn)的五類缺陷,并確定本文以桶身變形、接縫缺陷、桶底破損、桶底臟污四類缺陷為主要檢測對象。構(gòu)建了方便面桶包裝缺陷視覺檢測的硬件系統(tǒng),設(shè)計了方便面桶包裝缺陷視覺檢測的軟件方案。第二,針對方便面桶包裝中的桶身變形缺陷和接縫缺陷的視覺檢測方法進行了研究。對檢測過程中的灰度化處理、二值化處理等基本算法進行了闡述。構(gòu)建了一種基于鏈碼表格的輪廓跟蹤方法。第三,針對方便面桶包裝桶底的臟污缺陷和破損缺陷展開了視覺檢測研究。構(gòu)建了一種三階段的預(yù)處理方法,包括均值濾波、Gauss濾波、Laplace銳化。對形態(tài)學方法進行改進,應(yīng)用于帶有臟污缺陷的桶底圖像檢測。對比了三種邊緣檢測方法,選取Canny邊緣檢測方法,應(yīng)用于出現(xiàn)破損缺陷的桶底圖像檢測。第四,設(shè)計了方便面桶式包裝缺陷檢測軟件。在檢測軟件界面下,對基本功能和四類缺陷檢測功能進行了展示。之后,從檢測時間和檢測精度兩個角度,對缺陷檢測軟件進行了性能分析。
[Abstract]:In the packaging process of barrel instant noodle, the paper instant noodle barrel will be delivered on income production line, put into flour cake, put in material bag, press top cover, press surface packaging, plastic skin package, and so on. In the process of multi-step flow, Due to the errors of force and placement, it is inevitable that the barrel body will deform, the bottom of the barrel will be perforated, the bottom of the barrel will be contaminated with dirty materials and other packaging defects. If this kind of packaging quality problem cannot be effectively avoided, it will not only greatly affect the interests of consumers. It will also affect the economic benefits of instant noodle manufacturers. For the defect detection of instant noodle barrel packaging, the visual inspection system takes the camera as the core sensor, and then takes the image processing, pattern recognition and other algorithms as the core software technology. Visual inspection is a typical non-contact measurement, and it will not cause secondary damage to the instant noodle barrel. Image processing and pattern recognition algorithms, such as image processing and pattern recognition, can be used to detect packaging defects by software. The research work in this paper is as follows: firstly, the image level description of two kinds of instant noodle bucket is given, and the five possible defects are analyzed. It is determined that the main detection objects in this paper are four kinds of defects, such as barrel body deformation, joint defects, bucket bottom breakage, and bucket bottom fouling. A hardware system for visual inspection of instant noodle barrel packaging defects is constructed. The software scheme of visual inspection of instant noodle barrel packaging defect is designed. Secondly, the visual detection method of barrel body deformation defect and joint defect in instant noodle barrel packaging is studied. The basic algorithms such as binary processing are described. A method of contour tracking based on chain code table is constructed. Third, The visual detection of dirty and damaged defects on the bottom of instant noodle barrel was studied. A three-stage pretreatment method was constructed, including the mean filtering Gauss filter Laplace sharpening. The morphological method was improved. This paper compares three edge detection methods, selects the Canny edge detection method, and applies it to the bucket bottom image detection with damaged defects. 4th, In this paper, the software for detecting the defect of instant noodle barrel packaging is designed. The basic function and the four kinds of defect detection function are demonstrated under the software interface. After that, the detection time and precision are analyzed. The performance of defect detection software is analyzed.
【學位授予單位】：哈爾濱商業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TS206;TP391.41

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