【摘要】：近年來,隨著汽車的普及,人行橫道通行安全和效率問題日益突出。為了探究降低交通事故率的有效方法,基于機(jī)器視覺的人行橫道交通燈識別技術(shù)就成了目前的研究熱點(diǎn),同時(shí)也為盲人助行工具的研制提供一定的理論依據(jù)。 本文提出了一種在復(fù)雜場景下人行橫道交通信號燈的檢測與識別方法,該方法既能實(shí)現(xiàn)在復(fù)雜場景下檢測人行橫道交通信號燈,又能識別出信號燈的具體狀態(tài)。具體的講,本文在充分研究、歸納人行橫道交通信號燈特征屬性的基礎(chǔ)上,首先建立了信號燈定位與識別系統(tǒng)的框架,并將系統(tǒng)框架分為圖像獲取、定位識別算法實(shí)現(xiàn)、ARM硬件實(shí)現(xiàn)三部分。圖像獲取又分為圖像的采集與壓縮,該框架結(jié)構(gòu)簡單、易于實(shí)現(xiàn)�；跀�(shù)字圖像處理的人行橫道信號燈的識別與定位算法是本文研究的重點(diǎn),針對現(xiàn)有交通燈檢測方法僅適用于簡單場景的不足,本文提出了一種基于HSI與RGB顏色空間相結(jié)合的閾值分割算法來定位與識別人行橫道信號燈,并用Matlab編程實(shí)現(xiàn)該算法。現(xiàn)行大部分交通燈識別算法只能在PC上實(shí)現(xiàn),而不能應(yīng)用于嵌入式可移動(dòng)設(shè)備上,針對此不足,本文提出并實(shí)現(xiàn)了C++程序?qū)崿F(xiàn)該算法,并經(jīng)過交叉編譯后成功移植到搭載liunix操作系統(tǒng)的ARM9開發(fā)板,完成了算法的硬件實(shí)現(xiàn)。
[Abstract]:In recent years, with the popularity of cars, crosswalk safety and efficiency issues have become increasingly prominent. In order to explore an effective method to reduce traffic accident rate, the recognition technology of traffic lights in crosswalk based on machine vision has become a hot research topic at present, and it also provides a certain theoretical basis for the development of walking aid tools for blind people. This paper presents a detection and recognition method for crosswalk traffic lights in complex scenes. This method can not only detect crosswalk traffic lights in complex scenes, but also recognize the specific state of traffic lights. Specifically, based on the full study and induction of the characteristic attributes of traffic lights in crosswalk, this paper first establishes the frame of the signal light location and recognition system, and divides the system frame into image acquisition. The location recognition algorithm realizes three parts of arm hardware. Image acquisition is divided into image acquisition and compression. The framework is simple and easy to implement. The recognition and location algorithm of crosswalk signal based on digital image processing is the focus of this paper. The existing traffic light detection method is only suitable for simple scene. In this paper, a threshold segmentation algorithm based on HSI and RGB color space is proposed to locate and recognize crosswalk signal lights. The algorithm is implemented by Matlab programming. Most of the current traffic light recognition algorithms can only be implemented on PC, but not on embedded mobile devices. In view of this deficiency, this paper proposes and implements the C program to implement the algorithm. After cross-compiling, the algorithm was successfully transplanted to the ARM9 development board with liunix operating system, and the hardware implementation of the algorithm was completed.
【學(xué)位授予單位】：內(nèi)蒙古大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.54

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本文編號：2216792