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picture1_Processing Pdf 181266 | Puja Mukherjeeintroduction And Digital Image Fundamentals2020 03 30puja Mukherjee Digt Img Processing 2020 Sm1


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File: Processing Pdf 181266 | Puja Mukherjeeintroduction And Digital Image Fundamentals2020 03 30puja Mukherjee Digt Img Processing 2020 Sm1
why image processing for human perception to make images more beautiful or understandable automatic perception of image we call it machine vision computer vision machine perception computer recognition for storage ...

icon picture PDF Filetype PDF | Posted on 30 Jan 2023 | 2 years ago
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     Why Image Processing? 
    
    
    
       For Human Perception
           To make images more beautiful or understandable
       Automatic Perception of Image
           We  call  it  Machine  Vision,  Computer  Vision,  Machine 
           Perception, Computer Recognition
       For Storage and Transmission
           smaller, faster, more effective
       Image Processing for New Image Generation (New trends)
           Computer  Graphics  introduced  Image  Processing        and 
           Computer Vision technologies
                                 
        The Electromagnetic Spectrum 
     
     
     
            Images based on radiation from the EM spectrum
            EM : wave stream of mass less particles
            Each particle contains energy
     
     
     
                                                       
     Example: a cell 
    
    
    
       Image of a cell corrupted by 
        electronic noise. 
    
    
    
    
    
       Result after averaging 
        several noisy images  (a 
        common technique for noise 
        reduction) 
                                  
     Example: an x-ray 
    
    
    
       An original x-ray image 
    
    
    
    
    
    
       Result possible after 
        contrast and edge 
        enhancement 
                                  
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...Why image processing for human perception to make images more beautiful or understandable automatic of we call it machine vision computer recognition storage and transmission smaller faster effective new generation trends graphics introduced technologies the electromagnetic spectrum based on radiation from em wave stream mass less particles each particle contains energy example a cell corrupted by electronic noise result after averaging several noisy common technique reduction an x ray original possible contrast edge enhancement...

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