交通標誌偵測與辨識

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Title:	交通標誌偵測與辨識
Other Titles:	Traffic sign detection and recognition
Authors:	王宗任;Wang, Tsung-jen
Contributors:	淡江大學資訊工程學系碩士班洪文斌;Horng, Wen-bing
Keywords:	交通標誌偵測;「色相-飽和度-亮度」色彩模型;樣板比對;traffic sign detection;HSV color model;template match
Date:	2009
Issue Date:	2010-01-11 05:52:38 (UTC+8)
Abstract:	本篇論文中，我們利用影像上連通區域的顏色與形狀，判斷交通標誌的位置與類型，並以樣板比對來辨識交通標誌內部的訊息，提供駕駛人關於交通標誌的資訊。本系統主要分為兩階段:交通標誌偵測與辨識。偵測部份首先利用交通標誌在HSV色彩模型(HSV color model)中的顏色範圍，篩選出交通標誌的候選區域，再利用連通區域標示(connected component labeling)，與邊緣偵測(edge detection)確認交通標誌的位置，辨識部分則將偵測到的交通標誌作正規化的處理，接著依據形狀分辨交通標誌類型，最後輸入至樣板比對(template match)系統，即可確認交通標誌上的訊息。本系統著重於利用簡單運算來達到良好的偵測率，輸入圖片格式為640x480 RGB圖片，執行圖片平均時間為671.9 ms，實驗樣本的平均偵測率結果為95%，平均辨識率為81%。 In this paper, we use color and shape to detect and classify traffic signs. Then, the message on the traffic sign is recognized for driver. The method consists of two phases: traffic sign detection and recognition. In the detection stage, we use the distribution of traffic sign on HSV color model to segment the regions of traffic sign, and then use connected component labeling and edge detection to find positions of traffic signs. In the recognition stage, the detected traffic signs are normalized and classified by shape detection. Finally, we input the result to template match system, so information on traffic signs is identified. Our system uses simple algorithm to achieve high detection rate. The format of input image is 640×480 true color bitmap. The average execution time for each image is 671.9ms, the detection rate is 95% and the recognition rate is 81%.
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

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