本文選題：機(jī)器視覺 + Hough變換　； 參考：《聊城大學(xué)》2017年碩士論文

【摘要】：玻璃球以化學(xué)穩(wěn)定性好、機(jī)械強(qiáng)度高和電絕緣性好等特性廣泛應(yīng)用于眾多領(lǐng)域。目前,國內(nèi)玻璃球生產(chǎn)量和應(yīng)用量巨大,然而玻璃球損傷檢測技術(shù)落后,大都采用傳統(tǒng)的人工方法檢測;傳統(tǒng)檢測方法容易造成人工視覺疲勞、視覺損傷;效率低、誤檢率大,從而降低產(chǎn)品質(zhì)量;急需一種自動檢測玻璃球損傷的設(shè)備,有效解決人工檢測的困境。本文提出了一種基于機(jī)器視覺的玻璃球檢測識別系統(tǒng);系統(tǒng)主要分為軟件和硬件兩個部分,軟件部分主要是設(shè)計(jì)檢測識別算法,獲得玻璃球缺陷的信息;硬件部分主要完成圖像的采集、物料傳送和次品剔除工作。本文主要創(chuàng)新性的工作如下:1.玻璃球圖像的采集。使用實(shí)驗(yàn)室MV-EM120C/M型號面陣CCD相機(jī),環(huán)形LED臺燈做光源高角度照明;提出了光源位置、照明亮度與相機(jī)拍攝角度及景深相結(jié)合的玻璃球圖像采集方法;配以黑色絨布作背景,既增大被測物與背景對比度,又起到固定玻璃球防止?jié)L動的作用。2.圖像預(yù)處理。提出了基于小波變換的圖像增強(qiáng)、基于hough變換平面圓識別、log算子邊緣檢測和數(shù)學(xué)形態(tài)學(xué)函數(shù)填充相結(jié)合的方法進(jìn)行圖像預(yù)處理,突出輪廓邊緣、獲取去背景的玻璃球圖像。3.特征提取與缺陷檢測。提出了基于區(qū)域標(biāo)記的面積測量方法提取玻璃球圖像缺陷特征、計(jì)算缺陷閾值,實(shí)現(xiàn)缺陷檢測。4.制作GUI可視化操作系統(tǒng)界面。更直觀的操作避免操作冗長程序,處理結(jié)果清晰明了,操作方式簡單,易于人工交互。
[Abstract]:Glass spheres are widely used in many fields because of their good chemical stability, high mechanical strength and good electrical insulation.At present, the domestic glass ball production and application amount is huge, but the glass ball damage detection technology is backward, mostly uses the traditional manual method to detect; the traditional detection method is easy to cause artificial vision fatigue, the visual damage, the efficiency is low, the false detection rate is big,In order to reduce the quality of the product, it is urgent to use a kind of equipment to detect the damage of glass ball automatically, and to solve the problem of manual inspection effectively.In this paper, a glass ball detection and recognition system based on machine vision is proposed, which is mainly divided into two parts: software and hardware.The hardware part mainly completes the image collection, the material transfer and the defective product elimination work.The main innovative work of this paper is as follows: 1.The collection of glass ball images.Using laboratory MV-EM120C/M plane array CCD camera and ring LED lamp as high angle illumination, a method of glass ball image acquisition is proposed, which combines the position of light source, illumination brightness with camera shooting angle and depth of field, and is matched with black velvet as background.It not only increases the contrast between the measured object and the background, but also acts as a fixed glass ball to prevent rolling. 2.Image preprocessing.Image enhancement based on wavelet transform, edge detection based on hough transform plane circle recognition log operator and mathematical morphology function filling are proposed to pre-process the image, highlight the contour edge, and obtain the glass-sphere image. 3.Feature extraction and defect detection.An area measurement method based on area marking is proposed to extract the defect feature of glass ball image, calculate the defect threshold, and realize the defect detection. 4.Make GUI visual operating system interface.More intuitive operation to avoid lengthy procedures, processing results clear, simple operation, easy to manual interaction.
【學(xué)位授予單位】：聊城大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ171.65;TP391.41

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本文編號：1755799