Title : 
Parameter isolating transforms and admissible distortions
         
        
        
            Author_Institution : 
Worcester Polytechnic Institute Worcester, Massachusetts
         
        
        
        
        
        
        
            Abstract : 
An often encountered pattern recognition problem is that of identifying a given image as related to one of a set of prototypes even though they may differ by virtue of the action of a non-linear mapping of image points. Certain parameterized distortions are such that a transform may be found that has the property of isolating the distortion effect as a factor in the transform space allowing subsequent identification and removal of the distortion. Herein the most general form of distortion is found that allows a related transform with such properties to be constructed. Furthermore a test for the admissibility of a distortion is given as well as the general form of the required parameter isolating transform.
         
        
            Keywords : 
Image recognition; Kernel; Nonlinear distortion; Pattern recognition; Phase distortion; Prototypes; Signal processing; Speech; Testing; Transforms;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
         
        
        
            DOI : 
10.1109/ICASSP.1983.1171979