|  |  |  |  | 
         
          |  |  |  | 
         
          |  |  Linear and Morphological Image Processing
 
  |  | 
        
          |  |  |  | 
         
          |  |  
 | Organization: | University of Southern Maine | 
 | Department: | Electrical Engineering | 
  |  | 
        
          |  |  |  | 
         
          |  |  
  |  | 
        
          |  |  |  | 
         
          |  |  Version 4 of Mathematicaincludes a number of enhancements ewpecially relevant to the signal/image processing community. The introduction of an efficient internal representation for machine-precision numerical data, addition of import/export capabilities covering most signal and image interchange formts, and most importantly, the addition of a fast convolution operator have finally made it possible to use Mathematica as an effective platform for signal and image processing. In this article we take a close look at convolution and present a number of image rcessing operations that have a convolution-like implementation. This includes not only the better-known linear filters but also binary and grayscale morphological operators.
 
  |  | 
        
          |  |  |  | 
         
          |  |  
  |  | 
        
          |  |  |  | 
         
          |  |  http://www.mathematica-journal.com/issue/v8i1/features/jankowski/
 
  |  |