Comparison of standard edge detection techniques along with morphological processing and pseudo coloring in sonar image

Abstract

Object recognition and texture identification are the two main application of sonar image processing. It consists of 3 main steps such as image segmentation, object recognition and pattern identification. Before all these steps, some of the preprocessing procedure are included such as filtering of noise, edge detection etc. Many edge detection operators are available and also a mathematical modeling called morphological processing is also very useful for edge detection. Color images generally have more visual perception over gray scale and monochrome images. Therefore in this paper the standard edge detection techniques along with the morphological processing are carried out. Comparison of the result along with the pseudo colored image proves that the morphological processing along with edge detection techniques gives more information than another one. Subjective analysis tells that, this approach mainly useful for the sonar image objects consist of larger shadow regions.