Title :
Extracting structure-tokens of cephalograms
Author :
Gao, Qigang ; Wang, Roland X.
Author_Institution :
Dalhousie Univ., Halifax, NS, Canada
Abstract :
Presents an algorithm and representation scheme for extracting structure tokens of cephalograms directly from X-ray images. The method is based on a principle of visual perception, i.e., edge partitioning and grouping which simulates human visual process on edge perception in certain aspects. With the method, image edges are first traced and partitioned into perceptual segments which are generic edge tokens. The edge tokens can be coded in a unique and descriptive format for both linear and curve segments. A grouping process is then performed to provide the joint tokens by gluing adjacent edge segments
Keywords :
brain; diagnostic radiography; edge detection; feature extraction; image segmentation; medical image processing; neurophysiology; X-ray images; cephalograms; edge partitioning; edge perception; generic edge tokens; grouping process; perceptual segments; structure-token extraction; Data mining; Design methodology; Diagnostic radiography; Face detection; Humans; Image edge detection; Image segmentation; Partitioning algorithms; Visual perception; X-ray imaging;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538462