ME 768             :  ARTIFICIAL  INTELLIGENCE IN ENGINEERING
 INSTRUCTOR :  AMITABHA MUKHERJEE
 Home Work      :  2  (  VISION  )
 AUTHOR         :  SUSANTA  KUMAR  NANDA  ( 96294 )
 



 

                                                        PART - I(color)
 

  The  image in the left column is the given color image ( converted into .gif format from the given
  .ppm format) .  The Second and Third coloumn contain the images mapped in grayscale using the
  Intensity model  and  Luminance model  respetively , which are output of the program  grey.c .
  The images in the second and third column  are in .gif format (converted from .pgm format produced
  by the program "grey.c" .
 
 
 


         The Original  color
                 image

 The  Intensity  Grayscale                  mapped   image

  The Luminance Grayscale
         mapped  image

 



 

                                                   PART - II ( edge detection)
 
  In this section I present the EDGE DETECTION using Canny's filter on this
  image. The source code for this program is in    edge.c .

    The results are shown in the following three TABLES . They  contain best of the   three  images       for  sigma = 1 , 2 and 4 respectively .
 



 

 

Sigma = 1 , threshold=8
Sigma=1, threshold=8.5
Sigma=1, threshold=9.0

 
 
 
Sigma = 2, threshold=3
 
Sigma=2, threshold=3.5 Sigma=2, threshold=4

 
 
 
 
Sigma=4,threshold=1.25
 
Sigma=4, threshold=1.5 Sigma=4,threshold=1.75

 
    The Filter  is of 2*sigma + 1  in length in both  its width and height.