Motion Fuzzy Images Reduction of High-voltage Line Inspection Based on Spectrum Analysis and Image Autocorrelation

摘要

In order to eliminate the motion blur in the images collected during the inspection by the high-voltage line inspection robot and improve the detection rate of barrier and malfunction, this paper proposes a method for parameter identification of motion fuzzy images based on spectrum analysis and image autocorrelation, estimating the fuzzy angle by quadratic Fourier transform and Hough transform. Besides, the paper proposes a method to eliminate the center-cross line occurred on the spectrum and improve the precision of fuzzy angle. The fuzzy image is subjected to differential autocorrelation processing, and the fuzzy length is estimated from the autocorrelation function image feature. Experiments show that the proposed algorithm is accurate to the motion fuzzy images of various directions and scales. The average detection error is also expected.