Mine detection in side scan sonar images using Markov Random Fields with brightness compensation

In this paper a new mine detection algorithm for side scan sonar images is proposed. In the proposed method, an illumination normalization algorithm to compensate for illumination variations based on Discrete Cosines Transform is applied initially to the sonar images. Then, segmentation is carried out using Markov Random Fields and potential mines are detected.