Image processing of a metal matrix composite microstructure Using recent bilateral filtering approaches

Image processing acquires more and more importance because of its wide spread in industrial applications such as; Biometrics, Information Fusion, Image Registration, Image Mosaic, Image Indexing, Retrieval, Image and Video Coding, Motion Detection and Tracing, Feature Extraction and so on. Image de-noising is an important step towards multiple image processing exploitation. In this paper, firstly, we are giving an overview of the most relevant methods applied in image de-nosing. Then, we are describing a bilateral filtering technique and its application to de-noise microstructure images of a metallic composite material. Analysis of de-noised material microstructure images using bilateral filtering techniques is discussed. Results show that using the fast bilateral filtering variant and the robust bilateral filtering method provide good output processed images.