本文選題：紅外成像 + 紅外偏振成像��； 參考：《天津大學(xué)》2016年碩士論文

【摘要】：目前紅外探測被廣泛應(yīng)用,但傳統(tǒng)紅外探測設(shè)備在霧霾、煙塵、偽裝等復(fù)雜環(huán)境下已經(jīng)無法的探測需求。經(jīng)研究和試驗(yàn)表明,紅外偏振成像技術(shù)能夠有效解決上述問題,因此紅外的偏振成像技術(shù)研究具有重要意義和廣闊的應(yīng)用前景。紅外偏振成像技術(shù)的研究主要是針對紅外的偏振成像特性和成像應(yīng)用的研究。本文以長波紅外偏振成像為研究對象進(jìn)行分析和研究紅外的偏振成像特性和成像應(yīng)用。本文基于紅外成像應(yīng)用系統(tǒng),根據(jù)紅外偏振成像生成原理,制定了紅外偏振成像方案,搭建了長波紅外偏振成像系統(tǒng);利用長波紅外偏振成像系統(tǒng)平臺,采樣景物的紅外偏振信息,獲得景物的紅外信息和偏振信息;然后根據(jù)紅外的偏振成像特點(diǎn),選取圖像融合算法,運(yùn)用Matlab工具進(jìn)行圖像仿真處理,最后根據(jù)融合圖像仿真結(jié)果研究長波紅外的偏振特性。為了更好的應(yīng)用紅外的偏振信息,本文選取了相應(yīng)的圖像融合算法,具體步驟如下:首先采用雙邊濾波法對圖像進(jìn)行處理,去除噪聲,增強(qiáng)物體邊緣信息;然后基于多尺度的Retinex理論對融合算法進(jìn)行了改進(jìn),增強(qiáng)了圖像的同時,盡量排除外界干擾,還原物體本來面目;再通過加權(quán)平均融合規(guī)則對圖像進(jìn)行融合,將圖像信息從對數(shù)域映射到顯示域;最后通過非線性灰度變換,進(jìn)一步凸顯圖像細(xì)節(jié)信息,加強(qiáng)了視覺舒適度。通過對仿真融合圖像的評價,可以驗(yàn)證該融合算法在凸顯圖像細(xì)節(jié)和提升圖像對比度方面效果突出,能夠較好滿足紅外偏振成像系統(tǒng)的需要。紅外偏振融合圖像仿真結(jié)果表明:與紅外探測本身相比,紅外的偏振信息在金屬探測和防偽探測上具有較強(qiáng)的探測能力,能夠探測到金屬目標(biāo)的更多細(xì)節(jié),能夠透過防偽網(wǎng)探測到更多目標(biāo)信息,但紅外的偏振信息也易受水霧的干擾。本文基于長波的紅外偏振成像技術(shù)研究,驗(yàn)證了紅外偏振成像系統(tǒng)處理流程的可執(zhí)行性,探測和發(fā)現(xiàn)紅外偏振成像特點(diǎn),為后續(xù)紅外偏振成像系統(tǒng)的實(shí)時應(yīng)用和工程化應(yīng)用等研究打好基礎(chǔ)。
[Abstract]:At present, infrared detection is widely used, but the traditional infrared detection equipment in haze, smoke, camouflage and other complex environments has been unable to detect the requirements. The research and experiments show that the infrared polarization imaging technology can effectively solve the above problems, so the study of infrared polarization imaging technology has important significance and broad application prospects. The research of infrared polarization imaging is mainly focused on the characteristics and applications of infrared polarization imaging. In this paper, the polarization imaging characteristics and imaging applications of long wave infrared polarization imaging are analyzed and studied. Based on the infrared imaging application system, according to the principle of infrared polarization imaging generation, this paper formulates the infrared polarization imaging scheme, builds the long-wave infrared polarization imaging system, and makes use of the long-wave infrared polarization imaging system platform. The infrared polarization information of the scene is sampled, and the infrared information and polarization information of the scene are obtained. Then, according to the characteristics of the infrared polarization imaging, the image fusion algorithm is selected, and the image simulation processing is carried out by using the Matlab tool. Finally, the polarization characteristics of long wave infrared are studied according to the fusion image simulation results. In order to better use the infrared polarization information, this paper selects the corresponding image fusion algorithm, the specific steps are as follows: firstly, the bilateral filtering method is used to process the image to remove noise and enhance the edge information; Then, the fusion algorithm is improved based on the multi-scale Retinex theory to enhance the image, eliminate the external interference, restore the original appearance of the object, and then fuse the image by the weighted average fusion rule. The image information is mapped from the logarithmic domain to the display field. Finally, the image details are further highlighted by nonlinear gray level transformation, and the visual comfort is enhanced. Through the evaluation of the simulated fusion image, it can be verified that the fusion algorithm can highlight the image details and enhance the image contrast, and can better meet the needs of infrared polarization imaging system. The simulation results of infrared polarization fusion image show that compared with infrared detection itself, infrared polarization information has stronger detection ability in metal detection and anti-counterfeiting detection, and can detect more details of metal target. More target information can be detected through the anti-counterfeiting network, but the infrared polarization information is also vulnerable to water mist interference. Based on the research of long wave infrared polarization imaging technology, this paper verifies the executable of infrared polarization imaging system, detects and discovers the characteristics of infrared polarization imaging. It lays a good foundation for the research of infrared polarization imaging system in real time and engineering.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP391.41

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