摘要
研究道路裂痕的识别问题,交通安全系统中准确检测道路质量是保证安全性的关键。针对当道路的裂痕细微或者裂痕特征不明显时,造成提取的裂痕图像特征值不完整,出现错误识别的问题。为解决上述问题,提出了一种改进的神经网络算法的道路细微裂痕图像识别方法。通过一定图像处理,建立裂痕网络和细节网络,并增加了细微裂痕相似网络模型,避免了仅对裂痕特征提取不能准确识别细微裂痕的问题。实验证明,改进的裂痕识别算法实现简单,识别道路上的细微裂痕准确率高,达到了实时识别技术的要求。
Research road rift identify.When cracks is slight or not obvious,the extracted image features were not complete,causing error identification problem.This paper proposed an improved algorithm of neural network of tiny crack image recognition.Through certain image processing methods,the crack network and details of the network were established,and similar model of slight crack was proposed to avoid the problem that only extracting the gray feature of cracks can not accurately identify slight cracks.Experiments show that the crack identification algorithm is simple,and satisfactory results are obtained from identify road subtle crack rate.
出处
《计算机仿真》
CSCD
北大核心
2011年第10期362-365,共4页
Computer Simulation
关键词
裂痕识别
细微裂痕
神经网络
Road rift identify
Slight crack
Neural network
