CAJ | 학술논문

介绍了一种基于颜色分割和形状分割的交通标志检测算法。该算法首先进行一些预处理，然后利用RGB分量差值算法分割出感兴趣的区域，再进行了二值化以及纵横比和面积的过滤之后，再利用圆形度法进行路标检测。实验结果表明，此检测算法可以较为有效和快速的检测出自然环境下的交通标志。
개소료일충기우안색분할화형상분할적교통표지검측산법。해산법수선진행일사예처리，연후이용RGB분량차치산법분할출감흥취적구역，재진행료이치화이급종횡비화면적적과려지후，재이용원형도법진행로표검측。실험결과표명，차검측산법가이교위유효화쾌속적검측출자연배경하적교통표지。
We propose a traffic signs detection method based on color segmentation and shape segmentation. Firstly,do some pre-processing,and then use the difference components algorithm of RGB to segment the regions of interest,and then use the circularity method to detect road signs after binarization and filtering by aspect ratio and area. The experiment results show that the detection method can detect the traffic signs in natural environment effectively and rapidly.