Texture Analysis on Side Scan Sonar images using EMD, XCS-LBP and Statistical Co-occurrence

Underwater vehicle captured images can be degraded in quality due to the underwater environment. To overcome this, image enhancement method such as Empirical Mode Decomposition (EMD) and Xtended Central Symmetric Local Binary Pattern (XCS-LBP) are applied on different shades of Side Scan Sonar (SSS) to extract the texture feature. These features can be evaluated using a statistical measure technique called Gray Level Co-occurrence Matrix (GLCM). Finally, it is concluded that the recommended EMD with XCS-LBP has shown superior results compared to other algorithms.