1. Gradient-direction-based Rectangles and Triangles Traffic Signs Detection Algorithm in Natural Scenes
- Author
-
XuJun Guan, YanQiong Jin, and Hai Zhang
- Subjects
business.industry ,Orientation (computer vision) ,Computer science ,010401 analytical chemistry ,Image processing ,02 engineering and technology ,Filter (signal processing) ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Filter design ,Line segment ,Kernel (image processing) ,Robustness (computer science) ,Computer vision ,Artificial intelligence ,Rectangle ,0210 nano-technology ,business ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
In this paper, we propose a novel method to detect rectangular and triangular traffic signs in natural scenes according to the geometric features of the rectangle and triangle traffic signs. It is a Gradient-direction-based method that mainly includes four stages: gradient information classification, filter templates-based line segments with different orientation extraction, structural corners detection and rectangle/triangle detection. The extracted corners are categorized into different sets according to the orientation of the line segments, by which we can quickly extract rectangle and triangle traffic signs in image. And the experimental results demonstrate under different conditions are shown that the proposed method can detect rectangular and triangular traffic signs in natural scenes efficiently and robustness.
- Published
- 2019