23-02-2013, 03:44 PM
Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings
Digital Image Processing.ppt (Size: 520 KB / Downloads: 39)
ABSTRACT
An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this paper. The cracks are detected by thresholding the output of the morphological top-hat transform. Afterward, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing. Finally, crack filling using order statistics filters or controlled anisotropic diffusion is performed. The methodology has been shown to perform very well on digitized paintings suffering from cracks.
EXISTING SYSTEM
The existing methods for processing digital images are there which actually deal with enhancing the image picture quality, brightness, color etc. These factors can be degraded due to aging process. Such an image processing technique algorithm concentrates on improving those factor alone. There are not designed to analysis and improve in the cracks region. The cracks removal has to be rectified in the different manner. The principle applied to improve image color, brightness and other characteristic cannot be used for crack detection and removal. This project concentrates on the digital image processing algorithm that deals only with crack detection and removal.
PROPOSED SYSTEM
The proposed system deals with digital image processing technique that detects and removes the cracks in the images. A system that is capable of tracking and interpolating cracks. The user should manually select a point on each crack to be restored. A method for the detection of cracks using multioriented Gabor filters. Crack detection and removal bears certain similarities with methods proposed for the detection and removal of scratches and other artifacts from motion picture films. However, such methods rely on information obtained over several adjacent frames for both artifact detection and filling and, thus, are not directly applicable in the case of painting cracks. Other research areas that are closely related to crack removal include image in painting which deals with the reconstruction of missing or damaged image areas by filling in information from the neighboring areas, and disocclusion, i.e., recovery of object parts that are hidden behind other objects within an image.