Blind Way Recognition Algorithm Based on Image Processing

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.