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Digital Image Processing

Posted on 2001-07-18
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Last Modified: 2012-06-27
How to write programs in Visual Basic to do the following intensity transformations:
1) Image negatives
2)Contrast stretching
3)Gray level slicing
4)Bit plane slicing
5)Histogram equalization
6)Low pass spatial filtering using 3*3 mask
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Question by:Emmiediana
8 Comments
 
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Expert Comment

by:CJ_S
ID: 6293454
You will need to use the API. You will need to write code that can examine each and every single pixel, and the pixels around it. I have done quite some digital image processing in C++, and can show you a simple sample in C++. (The functions are mainly the same as in VB, you will just need to add the appropriate API functions).

If you want I can send you an email with the sample...the code is in C++ though which is better for digital image processing in my opinion. I have the sample at home...

regards,
CJ
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Accepted Solution

by:
inthedark earned 75 total points
ID: 6293746
Images in VB a quite simple.  The hard bit is knowing what to do to each pixel to get the desired effect.

All image functions are a variation of the following VB code:

Add a pixture box & a command button to a form.

Edit the properties of the picture box and load an image into the picture property.

Paste the following code.
And run.


Sub Command1_Click


Dim x As Long
Dim y As Long
Dim h As Long
Dim w As Long
Dim col As Long

Dim red As Long
Dim green As Long
Dim blue As Long
Dim P As PictureBox

' Make sure the picture and form have a scalemode of pixels.

Me.ScaleMode = 3
Set P = Picture1
P.BorderStyle = 0
P.ScaleMode = 3 ' pixel
DoEvents


' w & h = no. of pixels to process
h = P.Height
w = P.Width

' loop through each pixel
For y = 0 To h
    For x = 0 To w

        col = P.Point(x, y) ' get the current pixel colour

        ' break down into parts
        ' you could speed this up using "And"
        red = Int(col / 65536)
        green = Int(col / 256) - red * 256
        blue = col as 255
       
        ' make a colour negative
        red = 255 - red
        green = 255 - green
        blue = 255 - blue
       
        col = RGB(red, green, blue)

        P.PSet (x, y), col ' paint the new colour back ontop of the old pixel

    Next x
    DoEvents
   
Next y


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LVL 17

Expert Comment

by:inthedark
ID: 6293774
All you need now are the algorithms for:

2)Contrast stretching
3)Gray level slicing
4)Bit plane slicing
5)Histogram equalization
6)Low pass spatial filtering using 3*3 mask

The net is probably the best source for a solution to this:

e.g.

http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-istogram.html

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Expert Comment

by:inthedark
ID: 6293778
But CJ_S is right that C would be better for this job.
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LVL 1

Expert Comment

by:slider115
ID: 6294498
Check out this book:

Visual Basic Graphics Programming (2nd Ed), Hands-On Applications and Advanced Color Development, Rod Stevens

It has tons of algorithms (easy to advanced), including most of the one's you are looking for.

J
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Author Comment

by:Emmiediana
ID: 6304203
To all that have posted their comments regarding my question on digital image processing..thanx a lot!!
Anyway..i still need your help....:)

To CJ,
Could you please send me those codes in C++?? :)
I'm really looking forward to view the codes and study them...

To inthedark,
Thanx for the VB codes...
I've tried it out ...and now i got some ideas to do the other intensity transformations...
(Anyway,frankly speaking...i still find it difficult..
anyone can help me??? :) )
btw...thanx for the url address....



To slider 115,
thanx for suggesting me the book..:)


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LVL 22

Expert Comment

by:CJ_S
ID: 6329596
I tried sending them to you yesterday at work. But I got it returned... so I have send another email saying that your mailbox was probably full. I don't know whether you have replied yet, but i will see that on monday.... or else, give me your email addy again (which can take 1.2 MB)

Regards,
CJ
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LVL 17

Expert Comment

by:inthedark
ID: 6330759
In the previous example to make the image monochrome:


red = (reg+green+blue)/3
green=red
blue=red

col = RGB(red, green, blue)

Sounds like a fun project.
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