本文選題：特征檢測 + 特征匹配��； 參考：《南京理工大學(xué)》2017年碩士論文

【摘要】：紅外搜索跟蹤系統(tǒng)作為傳統(tǒng)雷達(dá)系統(tǒng)的補(bǔ)充,在現(xiàn)代化戰(zhàn)爭中有著無可替代的作用。而圖像配準(zhǔn)作為系統(tǒng)信號(hào)處理中的重要一環(huán),也有著非常重要的地位。它是完成可靠探測、跟蹤目標(biāo)等一系列操作的前提和基礎(chǔ)。本課題圍繞圖像配準(zhǔn)的算法展開,并通過高速硬件平臺(tái)實(shí)現(xiàn)算法的硬件化。本課題從圖像配準(zhǔn)的理論知識(shí)出發(fā),首先簡單介紹了圖像配準(zhǔn)的不同種類以及它的發(fā)展歷史,然后結(jié)合了紅外搜索跟蹤系統(tǒng)的成像特點(diǎn),詳細(xì)研究了基于特征的圖像配準(zhǔn)算法和基于互信息的圖像配準(zhǔn)算法。本文從特征提取和特征匹配兩個(gè)方面對(duì)這兩類算法進(jìn)行了研究,并對(duì)相應(yīng)的算法進(jìn)行了仿真。實(shí)驗(yàn)結(jié)果表明基于特征的配準(zhǔn)算法在運(yùn)行速度上要優(yōu)于基于互信息的配準(zhǔn)算法,而基于互信息的配準(zhǔn)算法在配準(zhǔn)精度上則更為優(yōu)秀。為了將算法實(shí)現(xiàn)硬件化,本課題首先研究了 DSP的相關(guān)基礎(chǔ)和高速PCB設(shè)計(jì)的相關(guān)知識(shí)。接著根據(jù)配準(zhǔn)算法的要求進(jìn)行硬件系統(tǒng)的原理設(shè)計(jì)和器件選型,然后進(jìn)行布局設(shè)計(jì)以及布線和優(yōu)化,最后制作出了一套以TMS320C6678為核心的硬件系統(tǒng),并且對(duì)設(shè)計(jì)出來的硬件系統(tǒng)進(jìn)行了全方位的調(diào)試,確保了硬件系統(tǒng)能正常運(yùn)行。最后,將圖像配準(zhǔn)的算法成功的移植到了本課題設(shè)計(jì)的硬件系統(tǒng)中。實(shí)驗(yàn)結(jié)果表明本課題設(shè)計(jì)的系統(tǒng)能夠快速且有效地實(shí)現(xiàn)圖像配準(zhǔn)的功能。
[Abstract]:As a supplement to the traditional radar system, the infrared search and tracking system has an irreplaceable role in the modern war. Image registration, as an important part of the system signal processing, also has a very important position. It is the prerequisite and foundation for a series of exercises to complete reliable detection and target tracking. Based on the theoretical knowledge of image registration, this paper first introduces the different types of image registration and its history, and then combines the imaging characteristics of the infrared search and tracking system, and studies the image registration algorithm based on feature and based on the feature based image registration. The image registration algorithm of mutual information is studied in this paper from two aspects of feature extraction and feature matching, and the corresponding algorithm is simulated. The experimental results show that the feature based registration algorithm is better than the mutual information based registration algorithm in the running speed, and the registration algorithm based on mutual information is in the registration essence. In order to realize the hardware of the algorithm, this topic first studies the related foundation of DSP and the related knowledge of high speed PCB design. Then, according to the requirements of the registration algorithm, the principle design and device selection of the hardware system are made, then the layout design, wiring and optimization are carried out. Finally, a set of TMS320C6678 is made. The core hardware system and the designed hardware system are debugged in all directions to ensure the normal operation of the hardware system. Finally, the image registration algorithm is successfully transplanted into the hardware system designed in this subject. The experimental results show that the system designed by this project can achieve the work of image registration quickly and effectively. Yes.

【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41

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