本文選題：紅外成像 + 非均勻校正�。� 參考：《電子科技大學》2016年碩士論文

【摘要】：隨著紅外成像技術(shù)的迅速發(fā)展,紅外成像系統(tǒng)被廣泛應用于各國軍事和民用等許多相關(guān)領(lǐng)域,并發(fā)揮著重要作用。然而受制造工藝和技術(shù)條件的影響,紅外圖像存在均勻性較差、盲元較多和對比度較低等問題,圖像處理是紅外成像系統(tǒng)的重點和難點。根據(jù)某紅外產(chǎn)品總體要求,本文在介紹紅外成像系統(tǒng)基本理論和紅外圖像處理算法研究現(xiàn)狀的基礎上,詳細研究了紅外成像系統(tǒng)圖像處理方法,主要工作如下:(1)對圖像處理常用的非均勻校正方法進行了分析和研究,通過分析基于定標和基于場景校正方法的優(yōu)缺點,結(jié)合某紅外產(chǎn)品響應特性,提出了兩點+時域高通的非均勻校正方法,首先通過兩點校正減弱圖像的非均勻性,然后用高通濾波方法完成對校正系數(shù)偏移量的實時修正,同時對傳統(tǒng)時域高通濾波進行了改進設計;(2)對幾種常用的圖像盲元檢測方法進行研究并提出了新的方法,通過分析常用盲元檢測方法存在的問題,提出了基于中值濾波的盲元檢測和基于直方圖統(tǒng)計的閃爍盲元檢測方法,能夠有效解決系統(tǒng)恒定盲元和閃爍盲元的檢測問題;(3)對紅外成像系統(tǒng)圖像增強算法進行了研究,圖像增強采用空間拉伸的圖像灰度增強算法,達到增強小灰度目標,提高圖像對比度的目的;(4)對紅外成像系統(tǒng)圖像濾波算法進行了研究,圖像濾波采用增強型高通濾波算法,其中高通濾波用于低頻背景濾除,中值濾波用與去除高頻噪聲,從而使圖像信噪比大幅度提高;(5)將上述圖像處理算法分別進行了紅外圖像數(shù)據(jù)仿真,完成了基于某紅外產(chǎn)品圖像信息處理硬件平臺的圖像處理算法實現(xiàn),并在某紅外產(chǎn)品成像系統(tǒng)上進行了試驗驗證。試驗結(jié)果表明了本文圖像處理算法的有效性和優(yōu)越性,并具備很高的可靠性和工程實用性。
[Abstract]:With the rapid development of infrared imaging technology, infrared imaging system is widely used in many related fields, such as military and civil fields, and plays an important role. However, influenced by the manufacturing technology and technical conditions, the infrared image has the problems of poor uniformity, more blind element and low contrast, and the image processing is an infrared imaging system. On the basis of the basic theory of infrared imaging system and the current research status of infrared image processing algorithm, the image processing methods of infrared imaging system are studied in detail. The main work is as follows: (1) analysis and Research on the non-uniform correction method used in image processing. After analyzing the advantages and disadvantages of the calibration method and the scene based correction method, the non-uniform correction method of two points + time domain high pass is proposed. First, the nonuniformity of the image is weakened by two points correction. Then the high pass filtering method is used to correct the offset of the corrected series, and the traditional time domain is high. The general filtering is improved. (2) several common blind pixel detection methods are studied and a new method is proposed. By analyzing the problems existing in the common blind detection methods, a blind element detection method based on median filtering and a histogram statistics based scintillation blind element detection method are proposed, which can effectively solve the system constant blind element and the system constant blind element. The detection problem of blinding blind element; (3) the image enhancement algorithm of infrared imaging system is studied. The image enhancement adopts the image gray enhancement algorithm of space stretching to enhance the small gray target and improve the image contrast. (4) the image filtering algorithm of the infrared imaging system is studied, and the image filtering is enhanced high pass filter. Wave algorithm, in which high pass filter is used to filter low frequency background, median filter is used to remove high frequency noise, so that image signal to noise ratio is greatly improved. (5) the image processing algorithm based on the infrared image processing algorithm based on a certain infrared product image processing hardware platform is completed. The experimental results show the effectiveness and superiority of the image processing algorithm in this paper, and have high reliability and engineering practicability.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP391.41

【參考文獻】

相關(guān)期刊論文 前10條

1 張學峰;陳寶國;樊養(yǎng)余;王巍;;基于場景的紅外非均勻性校正算法對比研究[J];紅外技術(shù);2013年09期

2 曹曉荷;朱斌;郭立新;李晶;常青;龔濤;;自適應時間常數(shù)的時域高通濾波校正算法[J];光電工程;2013年07期

3 陳寶國;張學峰;牛英宇;;改進的基于神經(jīng)網(wǎng)絡的非均勻性校正算法[J];紅外與激光工程;2013年03期

4 張橋舟;顧國華;陳錢;隋修寶;劉寧;;基于兩點參數(shù)及自適應窗口的實時盲元檢測和補償技術(shù)[J];紅外技術(shù);2013年03期

5 劉永進;張國華;趙亦工;;混合卡爾曼濾波的非均勻校正算法[J];西安電子科技大學學報;2012年06期

6 雷曉杰;顧國華;隋修寶;左超;;紅外雙邊濾波時域高通非均勻性校正[J];激光與紅外;2012年07期

7 謝蓄芬;張偉;智喜洋;趙明;汪洪源;;基于場景的紅外焦平面陣列非均勻性評價方法[J];光學學報;2012年06期

8 黃曦;張建奇;劉德連;;紅外圖像盲元自適應檢測及補償算法[J];紅外與激光工程;2011年02期

9 顧國華;;基于滑動窗口與多幀補償?shù)淖赃m應盲元檢測與補償算法[J];紅外技術(shù);2010年07期

10 唐耀飛;;圖像灰度級拉伸算法的FPGA實現(xiàn)[J];航空兵器;2010年02期

相關(guān)碩士學位論文 前1條

1 鄭瑞紅;基于場景的紅外圖像非均勻性校正[D];南京理工大學;2004年

，

本文編號：2008126