Multiresolution Representation of SONAR Pipeline Image Using Pyramidal Transforms

This research work is anxious with the issues of identification of objects placed on seabed captured on underwater sonar images. Image segmentation methods play a very important responsibility in partitioning dividing the image into segments. In this paper, we are applying watershed segmentation algorithm for detecting pipelines in underwater seabed using sonar images. Initially, we applied Gaussian and Laplacian pyramid for image resolution enhancement, fixing threshold automatically using Otsu threshold determination. Also, morphological operations were performed for identifying the foreground and background of the image. Followed by that for marking the regions on the image, we used watershed segmentation algorithm to detect the pipeline in underwater acoustic images.