Symbol detection in low-resolution images using a novel method

Kuang Chin Tai, Chien Hsu Chen

研究成果: Article


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 low-resolution images. The effectiveness and efficiency of the proposed method are validated experimentally.

頁(從 - 到)143-154
期刊International Journal of Control and Automation
出版狀態Published - 2014 一月 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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