Symbol Detection in Low-Resolution Images using a Novel Method
Kuang-Chin Tai, Chien‐Hsu Chen · International Journal of Control and Automation · 2014
The ability to detect taxis, pedestrian walk symbols, zebra crossings, and straight line tactile guide paths and junctions is essential for blind people in any city.This work applies a novel method that detects automatically these five targets via their colors, geometric elements and structural features.To reduce processing time, this method is tailored to low-resolution images that are roughly 80 x 60 pixels.Additionally, another novel method based on the Hough Transform can recognize straight lines, an important geometric element, in lowresolution images.The effectiveness and efficiency of the proposed method are validated experimentally.