This report describes an efficient methodology of speed sign detection which constitutes of several steps to extract speed signs from frames of video recorded from a web-camera mounted in the front of a car. The most difficult implementation issues that are encountered in this task are the angle of the speed sign, the illumination of the image, the size of the speed sign and the calculation speed. In the proposed detection framework several detection decisions are presented, several of those are conducted by utilizing the k-means clustering algorithm…
Contents
Chapter 1 INTRODUCTION
Chapter 2 SCAN
Chapter 3 RING JUDGMENT
3.1 Intensity Judgment
3.2 Inside White Points Judgment And Outside Black Points Judgment
3.3 Ring Judgment by K-means
Chapter 4 ZERO JUDGMENT
4.1 Scan zero part
4.2 Inside White Points Judgment And Outside Black Points Judgment
4.3 Zero Judgment by K-means
Chapter 5 FIGURE JUDGMENT
5.1 Scan Figure Part
5.2 Figure Judgment by K-means
Chapter 6 COLOR JUDGMENT
6.1 The RGB color model
6.2 Color Judgment by K-means
Chapter 7 EXPERIMENT
7.1 Classification Model
7.2 Experiment
Chapter 8 SUMMARY AND CONCLUSIONS
Appendix A THE K-MEANS ALGORITHM
Bibliography
Author: Ye Xing
Source: Blekinge Institute of Technology
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