Paper Details

Texture analysis describes a wide variety of image-analysis techniques that quantify the variation in surfaceintensity or patterns, including some that are unnoticeable to the human visual system. Texture analysis describes a widerange of techniques that enable calculation of the gray-level patterns, pixel interrelationships, and the spectralproperties of an image. The increasing scientific and economic interest in the visual exploration and monitoring ofmarine areas is creating huge amounts of new underwater image and video data and approach of computationalassistance for texture analysis is desperately needed.Side Scan Sonar texture pattern highly depends on incident angles, These types of variance need to be addressedfor sonar texture characterization. Recently, more advances have been gained in computer vision for invariant texturerecognition by considering invariances to contrast changes and affine transforms.This paper presents a review ondifferent texture analysis approaches and classification of sediments using Side Scan Sonar useful for underwater imageanalysis.

Shaha Rasika S, Prof. Rangole Jyoti S, “A Review on Approaches for Classification of Sonar Textures”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 1, pp. 161-163, January 2016.