本文選題：成像系統(tǒng) + 微測(cè)輻射熱計(jì)��； 參考：《長(zhǎng)春理工大學(xué)》2017年碩士論文

【摘要】：近年來(lái),紅外成像系統(tǒng)在各個(gè)領(lǐng)域中都有舉足輕重的作用。其中非制冷型紅外成像系統(tǒng)由于性?xún)r(jià)比高、可靠性好、體積小、功耗低等優(yōu)點(diǎn)受到廣泛關(guān)注。與此同時(shí),應(yīng)用中對(duì)非制冷型紅外成像系統(tǒng)的成像質(zhì)量要求也逐年升高。對(duì)于非制冷型紅外成像系統(tǒng),如何提高并改善其成像質(zhì)量已成為各領(lǐng)域的研究熱點(diǎn)。本文從非制冷型紅外成像系統(tǒng)的成像原理入手,以電阻型微測(cè)輻射熱計(jì)作為成像器件。分析了微測(cè)輻射熱計(jì)的偏置效應(yīng)以及噪聲特性,結(jié)合非制冷型紅外成像機(jī)理及紅外圖像特點(diǎn),探究了基于非制冷型紅外成像系統(tǒng)的圖像增強(qiáng)方法。本文首先探討了傳統(tǒng)圖像增強(qiáng)方法的優(yōu)缺點(diǎn),通過(guò)實(shí)驗(yàn)的方式證明了任何單一的傳統(tǒng)圖像增強(qiáng)方法對(duì)紅外圖像的降噪效果都不明顯,通常會(huì)丟失紅外圖像的細(xì)節(jié)信息,導(dǎo)致紅外圖像模糊。為此,本文提出了兩種復(fù)合型圖像增強(qiáng)方法,分別是邊緣形態(tài)增強(qiáng)方法與單時(shí)域雙邊閾值增強(qiáng)方法。通過(guò)實(shí)驗(yàn)證明,邊緣形態(tài)增強(qiáng)方法在實(shí)驗(yàn)上取得的效果非常明顯,但算法復(fù)雜且缺乏實(shí)時(shí)性,很難在硬件平臺(tái)上實(shí)時(shí)處理;而單時(shí)域雙邊閾值增強(qiáng)方法的優(yōu)勢(shì)是其算法簡(jiǎn)單且具有一定的實(shí)時(shí)性。最后對(duì)本文所處理的紅外圖像增強(qiáng)效果進(jìn)行評(píng)價(jià)分析,為后續(xù)的研究打下理論基礎(chǔ),對(duì)非制冷型紅外焦平面陣列的紅外成像技術(shù)研究具有一定的參考價(jià)值。
[Abstract]:In recent years, infrared imaging system plays an important role in every field. Among them, uncooled infrared imaging system has attracted wide attention due to its advantages of high cost performance, good reliability, small size and low power consumption. At the same time, the imaging quality requirement of uncooled infrared imaging system is increasing year by year. For uncooled infrared imaging system, how to improve its imaging quality has become a hot research field. This paper starts with the imaging principle of uncooled infrared imaging system and uses resistive microbolometer as imaging device. The bias effect and noise characteristics of microbolometer are analyzed. Combined with the uncooled infrared imaging mechanism and infrared image characteristics, the image enhancement method based on uncooled infrared imaging system is explored. This paper first discusses the advantages and disadvantages of traditional image enhancement methods. It is proved by experiment that any single traditional image enhancement method has no obvious effect on infrared image noise reduction, and usually loses the detail information of infrared image. Result in infrared image blur. In this paper, two kinds of composite image enhancement methods are proposed in this paper, namely edge shape enhancement method and single time domain bilateral threshold enhancement method. The experimental results show that the edge morphology enhancement method is very effective in experiments, but the algorithm is complex and lacks real-time, so it is difficult to deal with it in real time on hardware platform. The advantage of single time domain bilateral threshold enhancement is that its algorithm is simple and real-time. Finally, the enhancement effect of infrared image processed in this paper is evaluated and analyzed, which lays a theoretical foundation for further research, and has certain reference value for the research of infrared imaging technology of uncooled infrared focal plane array.
【學(xué)位授予單位】：長(zhǎng)春理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN21;TP391.41

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本文編號(hào)：2015321