Automatic Localization and Marking for Features of Skull by CT Image

Abstract

The feature points of skull location and mark is an important research aspect in computer-aided facial Reconstruction and computer-aided photographic superimposition. Based on technique in the topology between feature points analyzing, an automatic localization and marking method for key points of skull is proposed. First, get the contour of skull based on image preprocess technique and calculate the centroid of skull. Then according to the relationship between skull centroid and the centre point of orbital cavity, the centre point of orbital cavitiey is obtained. Finally, key points are located according to SUSAN operator and the topology between feature points. Experimental results prove that this method is efficient and better accuracy can be obtained.

Roads and Intersections Extraction from High-Resolution Remote Sensing Imagery Based on Tensor Voting under Big Data Environment

“…The SUSAN algorithm uses a circular template to move over the image [36]. If the difference between the gray level of the pixel in the template and that of the central pixel is lower than the given threshold [37], then it is considered that the point has a similar gray level with the central pixel of the template [38]. A region consisting of pixels satisfying such a condition is called an USAN (Univalue Segment Assimilating Nucleus).…”