AN INNOVATIVE MORPHOLOGICAL APPROACH FOR NOISE REMOVAL CUM EDGE DETECTION FOR DIGITIZED PAINTINGS

Abstract

The older paintings suffer from breaks in the substrate, the paint, or the varnish. When we digitized these paintings, they can be modified using mathematical algorithms and cracks are eliminated so as to maintain the quality. The field of computer vision is concerned with extracting features and information from images in order to make analysis of images easier, so that more and more information can be extracted. The primary goal of this study is to use novel approach for noise removal cum unwanted edge from digitized paintings. The method used for both noise removal and edge detection is mathematical morphology. On the basis of set theory, mathematical morphology is used for image processing, analyzing and comprehending. It is a powerful tool in the geometric morphological analysis and description. The results exhibit that the new method overcomes the deficiency of conventional methods and efficiently removes the noise and detects the edges for digitized paintings.