本文選題：視頻圖像 + Hough變換��； 參考：《西安理工大學(xué)》2016年碩士論文

【摘要】：我國(guó)是一個(gè)常年經(jīng)受洪水威脅的國(guó)家,隨著當(dāng)前科技的迅速發(fā)展,我們?cè)诜姥捶矫嬉呀?jīng)有了很多突破性的研究工作,然而在一些險(xiǎn)峻的地勢(shì),建立完整功能的測(cè)站是較為困難的,想要較為全面的獲取到各個(gè)地區(qū)的水位數(shù)據(jù),圖像分析是一個(gè)重要的輔助手段。本文通過圖像分析手段,對(duì)遠(yuǎn)程獲取的水位圖像做了一系列的具體研究,其中主要包括了兩種遠(yuǎn)程獲取水位數(shù)據(jù)方法的優(yōu)化與研究;防汛預(yù)警平臺(tái)的設(shè)計(jì)與實(shí)現(xiàn)。論文主要研究工作如下:首先,本文主要針對(duì)水尺圖像的水位獲取方法進(jìn)行改進(jìn),其中主要包括了水尺圖像的預(yù)處理部分的水尺細(xì)化算法的優(yōu)化和通過Hough變換的方式進(jìn)行水尺圖像的刻度提取算法的優(yōu)化,且通過具體的實(shí)驗(yàn)證實(shí)了改進(jìn)部分的可實(shí)施性。也說明了改進(jìn)之后的算法在時(shí)間復(fù)雜度和空間復(fù)雜度方面有一定的優(yōu)勢(shì)。其次,本文通過視頻圖像中河道的地理特殊性,提出了一種從河道的水域面積和水位高度之間的關(guān)系求取水位數(shù)據(jù)的新方法。本方法首先通過邊緣檢測(cè)的方式對(duì)河岸線進(jìn)行提取,通過特征值匹配的方式求取具體的河岸線,進(jìn)而計(jì)算出河岸線以下的區(qū)域面積,對(duì)區(qū)域面積和水位高度進(jìn)行關(guān)系擬合來(lái)計(jì)算動(dòng)態(tài)水位的具體高度。最后,本文對(duì)防汛預(yù)警平臺(tái)進(jìn)行了系統(tǒng)性設(shè)計(jì)與功能性驗(yàn)證。該系統(tǒng)模塊運(yùn)行狀態(tài)良好,系統(tǒng)穩(wěn)定,能夠快速且較為準(zhǔn)確的為防汛工作人員提供較好的方案依據(jù),得出的結(jié)果具有一定的輔助決策價(jià)值。
[Abstract]:China is a country that has been threatened by floods for many years. With the rapid development of current science and technology, we have already made a lot of breakthrough research work in flood control. However, in some steep terrain, It is difficult to set up the station with complete function. In order to obtain the water level data of every region comprehensively, image analysis is an important assistant method. Through image analysis, this paper makes a series of concrete research on remotely acquired water level image, including the optimization and research of two remote water level data acquisition methods, and the design and implementation of flood prevention and warning platform. The main research work of this paper is as follows: first, this paper mainly aims at improving the water level acquisition method of water scale image. It mainly includes the optimization of the water scale thinning algorithm in the preprocessing part of the water scale image and the optimization of the scale extraction algorithm of the water ruler image by Hough transform. The implementation of the improved part is proved by the concrete experiments. It also shows that the improved algorithm has some advantages in time complexity and space complexity. Secondly, this paper proposes a new method to obtain the water level data from the relationship between the water area and the water level height through the geographical particularity of the channel in the video image. In this method, the river bank is extracted by edge detection, and the specific river bank is obtained by matching the eigenvalues, and then the area below the river bank is calculated. The specific height of dynamic water level is calculated by fitting the relation between area area and water level height. Finally, this paper carries on the systematic design and the function verification to the flood prevention early warning platform. The system module is running well and the system is stable. The system can provide a better scheme basis for flood control staff quickly and accurately. The result has certain value of auxiliary decision.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TV123;TP391.41

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本文編號(hào)：1851997