復雜車輛圖像中的車牌定位

2512879 2010-12-10 | rar | 1043 | 次下載 | 2積分

資料介紹

?針對復雜背景的車牌定位問題，提出了一種綜合形態、顏色、投影等多種特征的車牌定位算法。基于車牌區域邊緣信息豐富的特點，首先利用邊緣檢測和數學形態學方法定位候選車牌區域，并消除噪聲干擾；然后根據質心所在位置對候選區域進行由低到高的排序，并通過顏色識別作進一步篩選，以排除車燈等區域的干擾；最后采用投影法及谷值分析對截取出的缺損車牌進行補全，從而得到準確的車牌位置。實驗結果表明，算法的效率與精度與車輛圖像的清晰度、曝光度及車牌大小等因素有關，與傳統車牌定位算法相比，效率和精度分別提高了15%和20%以上。

Abstract:: ?A vehicle license-plate locating algorithm is proposed based on the morphology， color and projection features of license-plates. The algorithm uses edge detection and mathematical morphology to locate candidate regions and filter noise， basing on the fact that the license-plate region contains abundant edges. Further screening is then performed by sorting the centroids and identifying the colors of the candidate regions. Finally， restore the incomplete license-plate image using projection method and valley-value analysis， so as to obtain the accurate license-plate location. Experimental results show that the efficiency and accuracy of the algorithm is related to the definition and exposure of the vehicle images and the sizes of the license-plates. Compared to the traditional algorithm， the efficiency and accuracy has been improved 15% and 20% separately.