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Symbol Detection in Low-Resolution Images using a Novel Method

원문정보

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Proposed Detection Method
  3.1. Overview
  3.2. Color Learning Module
  3.3. Symbol Detection Module
 4. Extract Straight Lines in Low-resolution Images
 5. Experiments and Discussion
 6. Conclusions and Future Work
 Acknowledgements
 References

저자정보

  • Kuang-Chin Tai Dept. of Industrial Design, National Cheng Kung University, Tainan, Taiwan
  • Chien-Hsu Chen Dept. of Industrial Design, National Cheng Kung University, Tainan, Taiwan

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