A novel quantum-inspired algorithm for edge detection of sonar image

In order to extract the underwater object contours of sonar image accurately, a novel quantum-inspired edge detection algorithm is proposed. This algorithm use parameters of anisotropic second-order distribution characteristics MRF (Markov Random Field, MRF) model to describe the texture feature of original sonar image to smooth noise. Based on the conditions mentioned above, sonar image is represented by quantum bit on quantum theory, structure edge detection operator of sonar image by establishing a quantum superposition relationship between pixels. Evaluation the results of quantum-inspired edge detection by PSNR (Peak Signal to Noise Ratio, PSNR), and then complete the quantum-inspired edge detection of sonar image. The comparison different experiments demonstrate that the proposed algorithm get good smoothing result of original sonar image and underwater object contours can be extracted accurately. And it has better adaptability.