【摘要】：玻璃液體溫度計因其測溫精度高、攜帶方便等優(yōu)點而被廣泛應(yīng)用于各個領(lǐng)域,因此玻璃液體溫度計的使用量比較大。玻璃液體溫度計需要進(jìn)行定期的檢定,當(dāng)?shù)氐挠嬃坎块T負(fù)責(zé)該檢定工作,導(dǎo)致計量部門的工作任務(wù)繁重,通過之前對計量部門的研究,發(fā)現(xiàn)大多數(shù)計量部門通過人工讀數(shù)的方式對玻璃溫度計進(jìn)行檢定。人工讀數(shù)的方式容易導(dǎo)致以下幾種結(jié)果:溫度計數(shù)量過多使得檢定人員的疲倦而導(dǎo)致檢定結(jié)果不準(zhǔn)確;檢定人員的主觀因素影響溫度計的讀數(shù)而導(dǎo)致檢定結(jié)果不準(zhǔn)確;不能及時儲存任意溫度計的數(shù)據(jù)等原因?qū)е聶z定速度慢。因此對玻璃液體溫度計的自動檢定的研究是非常必要的。隨著科技的進(jìn)步,特別是智能化、自動化的不斷發(fā)展,機器視覺用于玻璃溫度計的自動檢定就受到了眾多研究者的廣泛重視。本文在機器視覺的基礎(chǔ)上,利用恒溫水浴鍋保持溫度計的溫度穩(wěn)定,通過一定分辨率的工業(yè)相機對溫度計圖像進(jìn)行獲取,對整個系統(tǒng)中的重要部分進(jìn)行了分析,并通過一定的圖像處理技術(shù)對目標(biāo)物進(jìn)行特征提取,以便進(jìn)一步分析研究。對溫度計的圖像分別提取了溫度計的液柱、刻度線以及數(shù)字,最后計算出了溫度計的示數(shù)。論文研究的主要內(nèi)容包括:對基于機器視覺的溫度計自動識別系統(tǒng)進(jìn)行了分析和研究,簡述了采集到的圖像的處理方以及該系統(tǒng)的恒溫裝置的實現(xiàn)方式,分析了工業(yè)相機的相關(guān)參數(shù),并采用張正友標(biāo)定發(fā)對工業(yè)相機進(jìn)行標(biāo)定,使得采集到的圖像沒有畸變的干擾。按照之前設(shè)計的溫度計自動識別系統(tǒng)進(jìn)行了現(xiàn)場的模擬實驗,調(diào)節(jié)恒溫水浴裝置設(shè)置不同的溫度,待溫度穩(wěn)定后利用工業(yè)相機采集圖像。采用MATLAB軟件平臺對采集到的圖像進(jìn)行處理,處理的過程包括:圖像的降噪去除獲取圖像過程中產(chǎn)生的各種噪聲;圖像的對比度的拉伸以突出圖像中的溫度計部分;圖像的分割、特征提取以分別提取出溫度計的液柱與刻度線;圖像的傾斜校正以提高溫度計識別精度;并且對溫度計上的數(shù)字進(jìn)行分割提取再進(jìn)行模板匹配、識別。通過之前對圖像的處理計算出溫度計的示數(shù),并采用Visual Studio結(jié)合HALCON機器視覺軟件設(shè)計出相應(yīng)的用戶界面來顯示圖像及結(jié)果信息。
[Abstract]:Glass liquid thermometer is widely used in various fields because of its high temperature measuring accuracy and convenient carrying, so the use of glass liquid thermometer is relatively large. The glass liquid thermometer needs regular verification, and the local metrology department is responsible for the verification work, resulting in the heavy task of the measurement department. It is found that most measurement departments calibrate glass thermometers by manual reading. The way of manual reading is easy to lead to the following results: the excessive number of thermometers makes the verification result inaccurate, the subjective factors of the calibrator influence the reading of the thermometer, and the verification result is inaccurate; The speed of verification is slow due to the failure to store the data of arbitrary thermometers in time. Therefore, it is necessary to study the automatic verification of glass liquid thermometer. With the development of science and technology, especially the development of intelligence and automation, the automatic verification of glass thermometers by machine vision has been paid more and more attention by many researchers. On the basis of machine vision, this paper uses a constant temperature water bath pot to keep the thermometer temperature stable, obtains the thermometer image by a certain resolution industrial camera, and analyzes the important part of the whole system. And through a certain image processing technology to extract the features of the object for further analysis and research. The liquid column, scale and figure of the thermometer are extracted from the image of the thermometer. Finally, the indicator number of the thermometer is calculated. The main contents of this paper are as follows: the automatic recognition system of thermometer based on machine vision is analyzed and studied, and the processing side of the collected image and the realization of the constant temperature device of the system are briefly described. The related parameters of the industrial camera are analyzed, and the industrial camera is calibrated by Zhang Zhengyou, which makes the collected image without distortion interference. According to the automatic recognition system of thermometer designed before, the field simulation experiment was carried out to adjust the different temperature of the constant temperature water bath device, and to collect the image by the industrial camera after the temperature was stabilized. The MATLAB software platform is used to process the collected images. The process of processing includes: noise reduction and noise removal; image contrast stretching to highlight the thermometer part of the image; image segmentation, and image segmentation. The feature extraction is used to extract the liquid column and the scale line of the thermometer; the tilt correction of the image is made to improve the recognition accuracy of the thermometer; and the number on the thermometer is segmented and extracted and then the template matching is carried out to identify the thermometer. The thermometer is calculated by image processing before, and the corresponding user interface is designed by using Visual Studio and HALCON machine vision software to display image and result information.
【學(xué)位授予單位】：中北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TH811;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 苑瑋琦;李坤鵬;;玻璃管溫度計示值視覺檢測系統(tǒng)研制[J];化工自動化及儀表;2016年01期

2 魏瑩;;高斯濾波OpenMP并行化[J];通訊世界;2015年10期

3 張宏偉;成寶芝;;基于MATLAB圖像邊緣檢測方法的研究[J];大慶師范學(xué)院學(xué)報;2015年03期

4 任彪;;機器視覺中立視技術(shù)的發(fā)展與現(xiàn)狀[J];信息系統(tǒng)工程;2014年11期

5 黎小琴;;Halcon軟件在機器視覺課程實驗教學(xué)中的應(yīng)用[J];科技資訊;2014年30期

6 辛光澤;侯宏錄;李飛;齊晶晶;;基于Camera Link接口的高速視頻圖像采集系統(tǒng)[J];國外電子測量技術(shù);2014年03期

7 吳進(jìn);;機器視覺中快速模版匹配算法研究[J];新型工業(yè)化;2014年01期

8 劉偉;;一種基于智能相機的機器視覺系統(tǒng)的設(shè)計[J];重慶工商大學(xué)學(xué)報(自然科學(xué)版);2013年11期

9 董銳;阮社;穆蕾;尹躍;李穎;;玻璃液體溫度計計算機輔助檢定系統(tǒng)原理簡述和思路拓展[J];現(xiàn)代制造技術(shù)與裝備;2013年04期

10 張法全;王國富;曾慶寧;葉金才;;利用重心原理的圖像目標(biāo)最小外接矩形快速算法[J];紅外與激光工程;2013年05期

，

本文編號：2251133