Automatic segmentation method of laser night vision image based on Roberts operator
The resolution of laser night vision images is low,and edge information is difficult to detect,resulting in low efficiency and poor accuracy in the image segmentation process.Therefore,a laser night vision image automatic segmentation method based on Roberts operator is designed.Use a camera to collect color information from nighttime scenes,reconstruct image data using the weighted average method,and output a complete laser night vision image.Fit adjacent pixels around the image,use cubic spline interpolation function to smooth the image,use Roberts operator to calculate image gradient,achieve edge detection of laser night vision images,obtain smooth information after image in-terpolation,and improve the resolution of night vision images.By using fuzzy C-means clustering to clarify the cluste-ring range,chaotic particle swarm optimization algorithm is introduced to achieve image segmentation.The experimen-tal results show that the segmentation difference rate of the proposed method is below 3％,the Dice similarity coeffi-cient of image segmentation is above 0.97,and the average image segmentation time is 9 seconds.
Roberts operatorcubic spline interpolation functionlaser night vision imageimage segmentationfuzzy C-means clustering
NETL
NSTL
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