基于交通標志都具有一定的顏色和形狀，以紅色倒三角形交通標志為例，介紹一種新的智能檢測方法。該方法主要由以下4個環節構成。首先是顏色提取，將圖像轉換到HSI顏色模型的色調子空間，提取特定顏色——紅色；其次是邊緣檢測，使用標準LOG模板在提取出來的紅色區域上進行；這樣，計算量將大為減少；然后是頂點判別，對邊緣上的這些點，采用神經網絡分類器進行分類，并分別對三角形的3種不同頂點作標記；最后是三角形的定位，通過一定的匹配準則提取出三角形。對不同場景下的2O幅圖像進行測試，檢測正確率達到了100％ 。實驗結果表明，該方法具有魯棒性好、速度快、檢測準確率高等特點。

This paper presents an intelligent method for detection of traffic signs．W hich uses a particular color and shape for the detection of trafic signs． Red color and down triangle shape trafic sign is taken as an example， explain this method．This method is mainly ca~ied out in four steps．First，convert RGB color space to HIS color space，and extract pixels with red color．Then perform LOG mask operation on the pixels got from step 1，for the detection of edges． By using neural network，we determine the angle pixels，and at the same time，we also determine on which specific angle the pixel is．And finally we detect the trafic sign by using the information of shape． We used 2O different images from different scenes to test this method， and the percentage of correctness is 100％