摘要
本文介绍了高速公路路面破损识别智能系统,该系统能对公路路面图像进行特征提取,能分类识别高速公路路面的破损情况。本文提出了一个改进的Sobel算法并探讨了基于决策树的分类。
In this paper, we introduce the system for recognition of freeway's surface diseases. This system is able to extract features from freeway's surface images, to classify and recognize diseases in these images. We mainly discuss an improved Sobel algorithm and talk about the classification based on decision tree.
出处
《计算机科学》
CSCD
北大核心
2004年第12期126-129,共4页
Computer Science
基金
江苏省自然科学基金赞助(DK200208)
