چکیده (انگلیسی):

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.