A log-ratio pair approach to endoscopic image matching

In this paper, we proposed a novel algorithm for endoscopic image matching. The algorithm consists of two main components, log-ratio descriptor and probabilistic matching criterion. Log-ratio descriptor is developed by using selected pair of grayscale intensity information that surround the keypoint. The spatial distribution of the pairs follow approximately normal distribution. Then, probabilistic t-test is implemented to produce a distinctive features descriptor. Acceptable probability is calculated based on the probability of t-distribution information. Finally, matching the keypoints is performed by comparing the acceptable probability and nearest neighbor location information. Simulation results show that the proposed algorithm achieves more than 90% matching in various types of tissue surface and movement.