Research on edge detection method of infrared image based-on dynamic programming theory

In this paper, a dynamic programming (DP) method, concerning the edge detection of infrared (IR) target from a given field background, is proposed. It involves locally adaptive threshold technique and fractal theory. Firstly, optimal control function based on different fractal dimensions and gray level features on infrared image is created. The second step is to seek latent object point by locally adaptive threshold technique and to calculate the minimum cumulative cost matrix. Finally optimal and connected contours are determined by DP. Experiments with real targets show that the method can detect target effectively and reduce false alarm probability.