摘要
提出一种基于图像处理的盲道识别算法。根据采集到的盲道图像,综合利用阈值分割、彩色连续性空间分割、纹理分割,结合直线检测算法,分析各种盲道特征以区分盲道与普通人行道。实验结果表明,该算法能有效分割多数盲道图像,检测出图片中的盲道区域和盲道行进方向,可以自适应选择速度最快且有效的分割方法,适用于实时导盲系统。
This paper proposes a blind way recognition algorithm based on image processing, which contains thresholding, color image segmentation, texture-based segmentation and line detection technique. It can study the characters of the blind ways then segment them from the pavements. Experimental results show that this algorithm is effective for most of the images of the blind way. It can partition the area of the blind ways and tell the turning direction of the blind ways. As this algorithm can adaptively select the fastest method to run, it can be implemented in the real-time blind direction system.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第1期189-191,197,共4页
Computer Engineering
关键词
图像分割
基于纹理分割
盲道识别
image segmentation
texture-based segmentation
blind way recognition
作者简介
柯剑光（1982-），男，硕士，主研方向：图像处理，模式识别，机器视觉；E-mail：visiblelight@gmail．com
赵群飞，教授；
施鹏飞，教授、博士生导师
