本文選題：TFDS + 輪廓重構(gòu)�。� 參考：《湖北工業(yè)大學(xué)》2017年碩士論文

【摘要】：近幾年來,貨運(yùn)列車運(yùn)行故障動(dòng)態(tài)檢測(cè)系統(tǒng)(TFDS)被逐漸推廣運(yùn)用于我國各鐵路干線,該系統(tǒng)避免了人工列檢的局限性,實(shí)現(xiàn)了貨運(yùn)列車的自動(dòng)檢測(cè)。然而由于貨運(yùn)列車零件外形多樣、外界環(huán)境惡劣,導(dǎo)致TFDS系統(tǒng)圖像背景復(fù)雜、目標(biāo)區(qū)域鎖定不穩(wěn)定。本文以列車關(guān)鍵部位零件閘瓦和緩解閥蓋為研究對(duì)象,對(duì)基于輪廓重構(gòu)輔助的匹配和基于輪廓重構(gòu)特征描繪的匹配進(jìn)行了深入研究。提出一種基于重構(gòu)輪廓輔助匹配路徑規(guī)劃的動(dòng)態(tài)分級(jí)匹配方法。該方法依靠待檢圖像中具有典型幾何特征對(duì)象的重構(gòu)輪廓來規(guī)劃遍歷路徑,以輪廓Hu不變矩描繪目標(biāo)形狀特征,并采用高低雙閾值門限與靈活動(dòng)態(tài)分級(jí)匹配機(jī)制相結(jié)合的策略。對(duì)閘瓦檢測(cè)圖像的實(shí)驗(yàn)表明,本文算法在提升遍歷效率的同時(shí)兼顧了閘瓦區(qū)域鎖定的準(zhǔn)確性,滿足了TFDS閘瓦區(qū)域快速準(zhǔn)確鎖定的要求。提出一種基于輪廓有向線段重構(gòu)與直方圖統(tǒng)計(jì)的匹配方法。該方法結(jié)合基于三角形局部彎曲度評(píng)價(jià)機(jī)制的輪廓有向線段重構(gòu),以所有成對(duì)有向線段之間有向相對(duì)角和歸一化當(dāng)量距離的統(tǒng)計(jì)直方圖作為目標(biāo)整體形狀特征的描繪,最后通過計(jì)算直方圖距離衡量目標(biāo)之間的相似性。以緩解閥蓋為對(duì)象進(jìn)行綜合實(shí)驗(yàn)表明,本文提出的匹配方法對(duì)于旋轉(zhuǎn)、平移和縮放等幾何變化均具有良好的適應(yīng)性,實(shí)現(xiàn)了目標(biāo)區(qū)域的準(zhǔn)確鎖定,滿足TFDS緩解閥蓋檢測(cè)區(qū)域定位的實(shí)時(shí)性要求。本文結(jié)合輪廓Hu不變矩、弧度步長(zhǎng)、動(dòng)態(tài)分級(jí)匹配、基于三角形單元彎曲度評(píng)價(jià)機(jī)制的動(dòng)態(tài)采樣、直方圖統(tǒng)計(jì)匹配等相關(guān)措施,較好的解決貨運(yùn)列車閘瓦和緩解閥蓋區(qū)域精準(zhǔn)快速鎖定的問題。文中的閘瓦匹配方法可推廣運(yùn)用于使用閘瓦制動(dòng)的不同列車,緩解閥蓋匹配方法亦可推廣運(yùn)用于具有不規(guī)則外形的盤蓋類零件檢測(cè)。
[Abstract]:In recent years, the dynamic fault detection system of freight train operation (TFDS) has been gradually popularized and applied to the main railway trunk lines in China. This system avoids the limitation of the manual inspection and realizes the automatic detection of the freight train. However, because of the various parts of the freight train and the bad external environment, the image background of the TFDS system is complex and the target area lock is locked. In this paper, the key parts of the key parts of the train and the relief valve cover are studied, and the matching based on the auxiliary contour reconstruction and the matching based on the contour reconfiguration feature description is studied. A dynamic hierarchical matching method based on the reconstructed contour auxiliary matching path planning is proposed. The reconstructed contour of typical geometric feature objects is used to plan the traversing path, to describe the feature of the target shape with the Hu invariant moment of outline, and to combine the high and low threshold threshold with the flexible dynamic classification matching mechanism. The experiment on the detection image of the brake shoe shows that the algorithm in this paper is to improve the ergodic efficiency while taking the lock area lock into consideration. The accuracy of the method satisfies the requirement of fast and accurate locking in the TFDS brake shoe area. A matching method based on the contour line segment reconfiguration and histogram statistics is proposed. This method is combined with the line segment reconstruction based on the triangular partial curvature evaluation mechanism, with the opposite angle and the normalized equivalent distance between all pairs of directed lines. The statistical histogram is described as the feature of the overall shape of the target. Finally, the similarity between the targets is measured by the calculation of the histogram distance. A comprehensive experiment with the relief valve cover is carried out to show that the matching method proposed in this paper has good adaptability for the geometric changes such as rotation, translation and scaling, and the accuracy of the target area is realized. It meets the real-time requirement of TFDS relief valve cover detection area positioning. This paper combines the contour Hu moment, the arc step length, the dynamic classification matching, the dynamic sampling based on the triangular element bending degree evaluation mechanism, the histogram statistics matching and other relevant measures, which can better solve the precise and fast locking of the cargo train brake shoe and the relief valve cover area. The method of brake shoe matching in this paper can be used to promote the use of different trains used to brake the brake shoe. The matching method of relief valve cover can also be applied to the detection of plate cover parts with irregular shape.
【學(xué)位授予單位】：湖北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：U279.32;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 趙大興;王博;周唯倜;孫國棟;;基于有向線段重構(gòu)輪廓與成對(duì)幾何直方圖的緩解閥蓋圖像匹配算法[J];中國機(jī)械工程;2017年06期

2 鄒暉;張冰;王曉萍;;一種基于模板匹配的手指靜脈識(shí)別算法[J];傳感技術(shù)學(xué)報(bào);2016年10期

3 陳天華;王福龍;;實(shí)時(shí)魯棒的特征點(diǎn)匹配算法[J];中國圖象圖形學(xué)報(bào);2016年09期

4 劉杰;黃進(jìn);韓冬奇;田豐;戴國忠;王宏安;;模板匹配的三維手勢(shì)識(shí)別算法[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2016年08期

5 徐貴力;趙妍;姜斌;王正盛;李開宇;郭瑞鵬;;基于局部尺度特征描述和改進(jìn)DTW技術(shù)的局部輪廓匹配算法[J];電子學(xué)報(bào);2016年01期

6 鄒榮;李健康;徐家祥;許楨英;;復(fù)雜場(chǎng)景下鐵路貨車鎖緊板偏轉(zhuǎn)故障檢測(cè)[J];鐵道科學(xué)與工程學(xué)報(bào);2015年04期

7 孫國棟;楊林杰;張楊;;基于三點(diǎn)迭代的聚類圓擬合算法[J];制造業(yè)自動(dòng)化;2015年13期

8 王燦進(jìn);孫濤;陳娟;;基于FREAK特征的快速景象匹配[J];電子測(cè)量與儀器學(xué)報(bào);2015年02期

9 師文;朱學(xué)芳;;基于輪廓重構(gòu)和特征點(diǎn)弦長(zhǎng)的圖像檢索[J];軟件學(xué)報(bào);2014年07期

10 劉護(hù)憲;;基于TFDS-4系統(tǒng)運(yùn)用研究[J];電子技術(shù);2014年03期

相關(guān)博士學(xué)位論文 前3條

1 舒禹程;基于特征描述子的圖像匹配算法研究[D];華中科技大學(xué);2015年

2 曾霖;圖像拼接技術(shù)的研究、實(shí)現(xiàn)與應(yīng)用[D];武漢大學(xué);2012年

3 周云燕;基于圖像分析理論的機(jī)械故障診斷研究[D];華中科技大學(xué);2007年

相關(guān)碩士學(xué)位論文 前2條

1 譚結(jié)清;列車制動(dòng)系統(tǒng)的性能分析與研究設(shè)計(jì)[D];中南大學(xué);2010年

2 唐科狄;基于線陣相機(jī)的貨車運(yùn)行故障動(dòng)態(tài)監(jiān)測(cè)系統(tǒng)研究[D];哈爾濱工業(yè)大學(xué);2010年

，

本文編號(hào)：2013802