Study of Object Detection in Sonar Image using Image Segmentation and Edge Detection Methods

The technique which uses sound waves to navigate, communicate or detect objects under the surface of sea water is commonly known as SONAR. Recognition and interpretation of objects is an important task in the sonar image processing. The resolution of the examined image is not adequate to classify the objects separately and is mainly affected by the multiplicative noise. The main focus of this work is to implement post-processing technique by entropy filter along with morphological processing for object identification. Relative analysis on the observed results with existing techniques of edge detection implies that the proposed work improves the result of target identification. Furthermore, removal of noise in the sonar image is also discussed in this paper.