Often referred to as Image Warping is the process of digitally manipulating image data such that the image’s projection precisely matches a specific projection surface or shape.
To be able to exploit shape information, we need reliable ways of detecting fragments of object boundaries. We reliably detect occluding boundaries by focusing on the question of combining motion cues with appearance cues for better detection of occlusion boundaries.
By this step, the automated grouping of all or selected digit features into summary categories happens.
Extract ideal features that can reflect the intrinsic content of the images and represent on a web-page and/or populate a database.