Sharmila. G
Artifact is an disturbances or errors or object that hides the data. An image is the collection of pixels with different intensity. The intensity of the pixel can be expressed as I(x,y), where I is the intensity value of the pixel , which is positioned or located through x-axis and y-axis. An image contains several sub-images which can be grouped through the amplitude or intensity of the pixel. The sub-images are called as regions and the sub-images alone can be processed without disturbing other regions which is meant as Region-Of-Interest. In Computed Tomography images used in medical area, there are several chances for the occurrences of false-image or false region called as artifact due to several reasons during scanning. To reduce the artifact the false region has to be segmented. In the segmentation, the artifact regions alone have to be detected and it has to be removed [3]. The removed artifact area is nothing but a missing data area in an image. But the removed area contains unwanted data that disturbs the original data. In case of medical images these unwanted or false data may lead to false diagnosis or it may lead the physician to miss some diagnosis which may be hidden inside the false or artifact regions. So the removal of these artifact regions and to find the missing data in those artifact regions is one of the most important task in medical imaging. In this paper, the artifact regions from the artifact image has been detected and pointed out in the image.
Artifact, Region of Interest (ROI), Cluster, Intensity, Segmentation, Image Processing.