Title : 
Moment and curvature preserving technique for accurate ellipse boundary detection
         
        
        
            Author_Institution : 
Dept. of Electr. Eng., Oulu Univ., Finland
         
        
        
        
        
        
            Abstract : 
Circles and their elliptic projections are very commonly used image features in computer vision applications. Thus, it is very important to be able to determine their location in an accurate manner. A technique for determining an ellipse boundary with subpixel precision is proposed. The technique, called the moment and curvature preserving detection (MCP), utilizes the first three intensity moments and the intensity gradient of the image. The idea of using moments for subpixel edge detection is not new, but in the case of ellipses the moments do not provide sufficient information for precise detection. However, if the local curvature is augmented to the observations, the ellipse boundary can be determined reliably
         
        
            Keywords : 
computer vision; edge detection; eigenvalues and eigenfunctions; matrix algebra; curvature preserving technique; ellipse boundary detection; image features; intensity gradient; intensity moments; local curvature; moment preserving technique; subpixel edge detection; subpixel precision; Application software; Calibration; Cameras; Computer vision; Detectors; Face detection; Feature extraction; Image edge detection; Machine vision; Pixel;
         
        
        
        
            Conference_Titel : 
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
         
        
            Conference_Location : 
Brisbane, Qld.
         
        
        
            Print_ISBN : 
0-8186-8512-3
         
        
        
            DOI : 
10.1109/ICPR.1998.711250