本文選題：安檢　切入點：X射線圖像　出處：《沈陽大學》2015年碩士論文

【摘要】：隨著人們生活水平的提高和近幾年電子商務的迅速發(fā)展,物流行業(yè)中郵路得到了很大的發(fā)展,郵路的安全檢查關系著民眾的人身和財產的安全,更受到了廣泛的關注。然而在實際的安全檢查中,由于相關技術還不夠完善,經常會出現(xiàn)錯檢和漏檢等情況,因此如何提高危險品檢測的效率和準確度,減少意外或危險事故的發(fā)生有著非常重要的研究價值和現(xiàn)實意義。本文的研究對象是用于郵路安全檢查的X射線安檢機產生的X射線透射圖像,通過對這些X射線圖像的處理方法的研究,結合一些危險品的識別原理,欲提高安檢機的危險品檢測準確率。本文對X射線安檢機的構成及工作原理和X射線圖像的成像原理及特性進行了詳細的理論研究。根據(jù)X射線安檢機所呈現(xiàn)的X射線圖像的顏色特征,利用Ostu方法和基于HSI色彩空間的分割方法對X射線圖像進行了危險品圖像的分割,將疑似危險品區(qū)域的圖像分割出來。對廣義Hough變換理論進行了研究分析,并用廣義Hough變換進行危險品圖像的匹配。為了提高對旋轉圖像的匹配識別率,對廣義Hough變換進行改進,提出了一種將數(shù)學統(tǒng)計理論和廣義Hough變換相結合的改進方法,引入一個距離閾值?,增加了一個匹配標準因子,有效提高了危險品匹配的精度。在MATLAB環(huán)境下,選取若干類危險品的圖像進行危險品檢測的實驗驗證。實驗結果表明,本文提出的改進方法在匹配旋轉的圖像方面要比傳統(tǒng)廣義Hough變換有著更高的匹配精度,使危險品檢測的準確度有所提高。驗證了本文提出的方法的有效性。
[Abstract]:With the improvement of people's living standards and the rapid development of electronic commerce in recent years, postal routes in the logistics industry have been greatly developed. The security inspection of postal routes is related to the safety of people's life and property. However, in the actual safety inspection, because the related technology is not perfect, there will often be false check and missed inspection, so how to improve the efficiency and accuracy of dangerous goods detection, Reducing the occurrence of accidents or dangerous accidents has very important research value and practical significance. By studying the processing methods of these X-ray images and combining the principles of some dangerous goods recognition, In order to improve the accuracy of dangerous goods detection, this paper makes a detailed theoretical study on the composition and working principle of the X-ray security machine and the imaging principle and characteristics of the X-ray image. The color characteristics of X-ray images, Using the Ostu method and the segmentation method based on HSI color space, the dangerous goods image of X-ray image is segmented, and the image of suspected dangerous goods region is segmented. The generalized Hough transform theory is studied and analyzed. In order to improve the matching rate of rotating image, the generalized Hough transform is improved, and an improved method combining mathematical statistics theory with generalized Hough transform is proposed. Introduce a distance threshold? In this paper, a matching standard factor is added to improve the accuracy of dangerous goods matching effectively. In MATLAB environment, some dangerous goods images are selected for dangerous goods detection. The experimental results show that, The improved method proposed in this paper has higher matching accuracy than the traditional generalized Hough transform in matching rotating images, which improves the accuracy of dangerous goods detection, and verifies the effectiveness of the proposed method.
【學位授予單位】：沈陽大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP391.41

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本文編號：1667227