發(fā)布時(shí)間：2018-05-07 01:27

  本文選題：弱小目標(biāo) + DSP　； 參考：《安徽工業(yè)大學(xué)》2017年碩士論文

【摘要】：本文課題來源于國家自然科學(xué)基金項(xiàng)目“基于實(shí)時(shí)圖像處理的鎂熔液含氫量自動檢測方法與實(shí)驗(yàn)研究”(批準(zhǔn)號為51374007)。鎂熔液含氫量的檢測是保證鎂合金鑄件質(zhì)量的重要步驟,鎂熔液表面第一氣泡的實(shí)時(shí)識別以及鎂熔液含氫量的自動檢測是整個(gè)問題的重點(diǎn)、難點(diǎn),因此對第一氣泡檢測算法與含氫量自動檢測方法的研究具有重要的意義。研究了鎂熔液圖像中第一氣泡的特性,結(jié)合半因果支持域和背景預(yù)測算法的優(yōu)勢,提出了基于E字型半因果支持域和雙層流水線的鎂熔液第一氣泡檢測算法,并利用MATLAB工具對算法進(jìn)行仿真,仿真結(jié)果表明,該算法不僅能夠檢測出第一氣泡目標(biāo)并且在圖像噪聲抑制方面、實(shí)時(shí)性方面更具優(yōu)勢。針對基于E字型半因果支持域和雙層流水線的算法局限于MATLAB仿真的缺陷,通過軟件編程將該算法移植到DSP平臺上,其次為解決鎂熔液含氫量自動檢測問題,設(shè)計(jì)了兩種鎂熔液含氫量測控系統(tǒng),其中一種以DSP為圖像處理單元,PLC為控制單元,然后分別設(shè)計(jì)了基于數(shù)字I/O、MODBUS RTU協(xié)議的通信硬件電路;另一種以DSP為圖像處理單元,GTS-400系列運(yùn)動控制器為控制單元,并分別設(shè)計(jì)了基于數(shù)字I/O、RS232接口的通信硬件電路,最后對兩種系統(tǒng)的圖像處理單元和控制單元進(jìn)行軟件編程,實(shí)驗(yàn)結(jié)果表明:兩種系統(tǒng)不僅能成功檢測出鎂熔液第一氣泡,并且圖像處理單元檢測出第一氣泡后,控制單元能迅速響應(yīng)并根據(jù)程序輸出,成功實(shí)現(xiàn)圖像處理單元與控制單元之間的通信�；�于E字型半因果支持域和雙層流水線的算法在MATLAB平臺以及DSP平臺上成功檢測出鎂熔液第一氣泡,對圖像識別方法應(yīng)用于鎂熔液第一氣泡的檢測具有重要指導(dǎo)意義,此外,基于DSP與PLC、DSP與運(yùn)動控制器測控系統(tǒng)的設(shè)計(jì)與通信實(shí)現(xiàn),對探究適用于工業(yè)現(xiàn)場自動檢測鎂熔液含氫量的方法具有重要科學(xué)價(jià)值和深遠(yuǎn)意義。
[Abstract]:This paper comes from the project of National Natural Science Foundation of China, "automatic detection method and experimental study of hydrogen content in magnesium melt based on real-time image processing" (Grant No. 51374007). The detection of hydrogen content in magnesium melt is an important step to ensure the quality of magnesium alloy castings. The real time identification of the first bubble on the surface of magnesium melt and the automatic detection of hydrogen content in magnesium melt are the key and difficulties of the whole problem. Therefore, it is of great significance to study the first bubble detection algorithm and the automatic detection method of hydrogen content. The characteristics of the first bubble in the magnesium melt image are studied. Combined with the advantages of the semi-causal support region and the background prediction algorithm, a first bubble detection algorithm for the magnesium melt is proposed based on the E-shaped semi-causal support region and the double-layer pipeline. The simulation results show that the algorithm not only can detect the first bubble target, but also has more advantages in real-time image noise suppression. In view of the limitation of the algorithm based on E-shape semi-causal support domain and double-layer pipeline to MATLAB simulation, the algorithm is transplanted to DSP platform by software programming, and the second is to solve the problem of automatic detection of hydrogen content in magnesium melt. Two kinds of hydrogen content measurement and control systems for magnesium melt are designed, one of which is DSP as image processing unit, and then the communication hardware circuit based on digital I / O Modbus RTU protocol is designed respectively. The other is the DSP as the image processing unit and the GTS-400 series motion controller as the control unit, and the communication hardware circuit based on the digital I / O / OF232 interface is designed respectively. Finally, the image processing unit and the control unit of the two systems are programmed by software. The experimental results show that not only the first bubble of magnesium melt can be detected successfully by the two systems, but also the control unit can respond quickly and output according to the program after the image processing unit detects the first bubble. The communication between the image processing unit and the control unit is realized successfully. The algorithm based on E-shape semi-causal support domain and double-layer pipeline successfully detects the first bubble of magnesium melt on MATLAB platform and DSP platform, which has important guiding significance for the application of image recognition method to the detection of the first bubble in magnesium melt. The design and communication of the measurement and control system based on DSP and PLC DSP and motion controller are of great scientific value and profound significance in exploring the method of automatically detecting hydrogen content of magnesium melt in industrial field.
【學(xué)位授予單位】：安徽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TG292;TP391.41

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本文編號：1854796