Pre-obstacle detection in the case of motion blur
Sun Miao-qiang · Computer Engineering and Applications Journal · 2012
This paper researches pre-obstacle detection in the case of blurred image caused by relative movement between the camera and the object,in accordance with the unstructured environment.This paper presents an improved two-dimensional entropy segmentation algorithm.Edge sharpness method is used to determine whether the image is a motion blurred image.If the answer is yes,the point spread function should be obtained using Fourier spectrum and Radon transform,and the image is restored by Lucy-Richardson method.In order to reduce the complexity of the obstacle detection algorithm,obstacles are coarsely positioned using the improved two-dimensional entropy segmentation algorithm,and the area threshold method is used to eliminate noise.The pre-obstacle detection is completed.Simulation results demonstrate the feasibility and the effectiveness.This can provide reference for smart cars avoiding colliding with obstacles,and is the foundation for identifying obstacles.