  In this paper, we present feature-based technique for construction of mosaic
image from underwater video sequence, which suffers from parallax distortion
due to propagation properties of light in the underwater environment. The most
of the available mosaic tools and underwater image mosaicing techniques yields
final result with some artifacts such as blurring, ghosting and seam due to
presence of parallax in the input images. The removal of parallax from input
images may not reduce its effects instead it must be corrected in successive
steps of mosaicing. Thus, our approach minimizes the parallax effects by
adopting an efficient local alignment technique after global registration. We
extract texture features using Centre Symmetric Local Binary Pattern (CS-LBP)
descriptor in order to find feature correspondences, which are used further for
estimation of homography through RANSAC. In order to increase the accuracy of
global registration, we perform preprocessing such as colour alignment between
two selected frames based on colour distribution adjustment. Because of
existence of 100% overlap in consecutive frames of underwater video, we select
frames with minimum overlap based on mutual offset in order to reduce the
computation cost during mosaicing. Our approach minimizes the parallax effects
considerably in final mosaic constructed using our own underwater video
sequences.
