SimpleCV

SimpleCV 其实是OPENCV 的python精简版本.

用了这么久的SimpleCV发现有个方法挺好用，template matching 模块

  
  
  
  

    
    一种是：
   
   
  
  

  
  

  
  
from SimpleCV import *


source = Image("templatetest.png", sample=True) # the image to search
template = Image("template.png", sample=True) # the template to search the image for
t = 5

methods = ["SQR_DIFF","SQR_DIFF_NORM","CCOEFF","CCOEFF_NORM","CCORR","CCORR_NORM"] # the various types of template matching available
for m in methods:
    print "current method:", m # print the method being used
    result = Image("templatetest.png", sample=True)
    fs = source.findTemplate(template,threshold=t,method=m)
    for match in fs:
        dl.rectangle((match.x,match.y),(match.width(),match.height()),color=Color.RED)
  
  

 
 
 
 

  
  

 
 
 
 

  
  

 
 
 
 

  
  

 
 
 
 

  
  

 
 
 
 

  
  

 
 
 
 

  
  

 
 
 
 

  
  另一种是：

 
 
 
 

  
  '''
 
 
 
 

  
  This example finds a quarter in the picture and then uses that measurement
 
 
 
 

  
  to determine the rest of the coins in the picture.  Since a quarter is always
 
 
 
 

  
  a certain size we can use it as a reference because it is known.
 
 
 
 

  
  

 
 
 
 

  
  In this example we use millimeters to pixels to do the conversion.
 
 
 
 

  
  

 
 
 
 

  
  The sizes of coins are as follows:
 
 
 
 

  
  penny - 19.05 mm
 
 
 
 

  
  nickel - 21.21 mm
 
 
 
 

  
  dime - 17.9 mm
 
 
 
 

  
  quarter - 24.26 mm
 
 
 
 

  
  

 
 
 
 

  
  '''
 
 
 
 

  
  

 
 
 
 

  
  print 
  
  __doc__
 
 
 
 

  
  

 
 
 
 

  
  from 
  
  SimpleCV 
  
  import 
  
  *
 
 
 
 

  
  # A quarter is 24.26mm or 0.955in
 
 
 
 

  
  quarterSize 
  
  = 
  
  24.26 
  
  #millimeters
 
 
 
 

  
  

 
 
 
 

  
  # This will hold the ratio of the image size to a quarter's actual size
 
 
 
 

  
  sizeRatio 
  
  = 
  
  0
 
 
 
 

  
  objectSize 
  
  = 
  
  0
 
 
 
 

  
  

 
 
 
 

  
  img 
  
  = 
  
  Image
  
  (
  
  'coins.jpg'
  
  , 
  
  sample
  
  =
  
  True
  
  )
 
 
 
 

  
  segmented 
  
  = 
  
  img
  
  .
  
  hueDistance
  
  (
  
  Color
  
  .
  
  BLACK
  
  )
 
 
 
 

  
  coins 
  
  = 
  
  img
  
  .
  
  invert
  
  ()
  
  .
  
  findBlobs
  
  (
  
  minsize
  
  =
  
  200
  
  )
 
 
 
 

  
  

 
 
 
 

  
  #Here we compute the scale factor
 
 
 
 

  
  if 
  
  coins
  
  :
 
 
 
 
		
  
  c 
  
  = 
  
  coins
  
  [
  
  -
  
  1
  
  ]
 
 
 
 
		
  
  diameter 
  
  = 
  
  c
  
  .
  
  radius
  
  () 
  
  * 
  
  2
 
 
 
 
		
  
  sizeRatio 
  
  = 
  
  quarterSize 
  
  / 
  
  diameter
 
 
 
 

  
  

 
 
 
 

  
  #Now we print the measurements back on the picture
 
 
 
 

  
  for 
  
  coin 
  
  in 
  
  coins
  
  :
 
 
 
 
		
  
  #get the physical size of the coin
 
 
 
 
		
  
  size 
  
  = 
  
  (
  
  coin
  
  .
  
  radius
  
  () 
  
  * 
  
  2
  
  ) 
  
  * 
  
  sizeRatio
 
 
 
 
		
  
  #label the coin accordingly
 
 
 
 
		
  
  if 
  
  size 
  
  > 
  
  18 
  
  and 
  
  size 
  
  < 
  
  20
  
  :
 
 
 
 
			
  
  text 
  
  = 
  
  "Type: penny"
 
 
 
 
		
  
  elif 
  
  size 
  
  > 
  
  20 
  
  and 
  
  size 
  
  < 
  
  23
  
  :
 
 
 
 
			
  
  text 
  
  = 
  
  "Type: nickel"
 
 
 
 
		
  
  elif 
  
  size 
  
  > 
  
  16 
  
  and 
  
  size 
  
  < 
  
  18
  
  :
 
 
 
 
			
  
  text 
  
  = 
  
  "Type: dime"
 
 
 
 
		
  
  elif 
  
  size 
  
  > 
  
  23 
  
  and 
  
  size 
  
  < 
  
  26
  
  :
 
 
 
 
			
  
  text 
  
  = 
  
  "Type: quarter"
 
 
 
 
		
  
  else
  
  :
 
 
 
 
			
  
  text 
  
  = 
  
  "unknown"
 
 
 
 

  
  

 
 
 
 
		
  
  text 
  
  = 
  
  text 
  
  + 
  
  ", Size:" 
  
  + 
  
  str
  
  (
  
  size
  
  ) 
  
  + 
  
  "mm"
 
 
 
 
		
  
  img
  
  .
  
  drawText
  
  (
  
  text
  
  , 
  
  coin
  
  .
  
  x
  
  , 
  
  coin
  
  .
  
  y
  
  )
 
 
 
 

  
  

 
 
 
 

  
  img
  
  .
  
  show
  
  ()
 
 
 
 

  
  time
  
  .
  
  sleep
  
  (
  
  10）