Kong Yongqi, Lu Min, Pan Zhigeng. Motion blur direction detection based on pre-processing of spectrum image[J]. Journal of Image and Graphics, 2013, 18(6): 637-646. DOI: 10.11834/jig.20130604.
In order to improve the detection quality of direction of the objects moving in fixed direction from blurred image
In this paper
we propose a new algorithm for detection of moving direction
which is based on the pre-processing of spectrum image. First
the spectrum image of motion-blur image is transformed twice with Fourier logarithmic to meet refinment of bright lines. Second
with the previous spectrum as input
the image is bi-value processing with slipping neighbour operation
eliminating image noise and cross bright line. Finally
the pre-processed image is performed with Radon transform
detecting image linear characteristic
and mapping the detection results into direction of the blurred image. The experimental results show as below: 1) in different fuzzy scale and direction of the environment
the proposed algorithm can always limit the movement direction detection error under 0.5°;2) our algorithm can obtain better movement direction detection than other related algorithms.