Surface fitting segmentation of infrared image in nonuniform background

The infrared image often contains undulated and non-consistent background. These characteristics make standard segmentation methods ineffective for extracting target. To solve this problem, a surface fitting segmentation method was put forward. This method includes two steps: surface fitting based on fairing constraint and adding offset to form the threshold surface. Through analysis, it was found out that the ratio of deflection item and fairing item was determined by the results of double-Laplace transform and mean square deviation of noise. So the adaptive ratio could be computed based on estimating mean square deviation of noise. The experimental result shows that the new method has better capability than other often used method in removing background and extracting target.