02-06-2012, 12:13 PM
Image Processing and Matlab
[attachment=23968]
Image Processing
Image Processing generally involves extraction of useful information from an image.
This useful information may be the dimensions of an engineering component, size of diagnosed tumor, or even a 3D view of an unborn baby.
The main areas of application of Image Processing are Bio-Medical, Engineering, Quality Control, Face Detection , Traffic Control etc.
Algo: Convert Image into Binary
1.Identify the intensity of the image.
If image intensity = high
Reduce intensity
Else if intensity = low
Increase intensity
Else
No change.
2.Convert image into grayscale.
3.Calculate appropriate threshold value for the image.
4.Convert the image into binary image using the calculated threshold.
Algo: Number Identification
Create the template file from the stored template images.
Resize image obtained from segmentation to the size of template.
Compare each character with the templates.
Store the best matched character.
Parallel Port
Parallel communication requires as much wires as the no. of bits in a word for its transmission.
Parallel port is generally a 25 pin female connector with which a printer is usually attached.
Limitations
Recognizes only specified font (the one present in database) number plate only.
At certain point may can’t clearly recognize or distinguish character like B and 8, 2 and Z , 0 and O etc.
The distance of image captured is also limited.
Sometimes even Lighting Conditions greatly effect the image processing.
[attachment=23968]
Image Processing
Image Processing generally involves extraction of useful information from an image.
This useful information may be the dimensions of an engineering component, size of diagnosed tumor, or even a 3D view of an unborn baby.
The main areas of application of Image Processing are Bio-Medical, Engineering, Quality Control, Face Detection , Traffic Control etc.
Algo: Convert Image into Binary
1.Identify the intensity of the image.
If image intensity = high
Reduce intensity
Else if intensity = low
Increase intensity
Else
No change.
2.Convert image into grayscale.
3.Calculate appropriate threshold value for the image.
4.Convert the image into binary image using the calculated threshold.
Algo: Number Identification
Create the template file from the stored template images.
Resize image obtained from segmentation to the size of template.
Compare each character with the templates.
Store the best matched character.
Parallel Port
Parallel communication requires as much wires as the no. of bits in a word for its transmission.
Parallel port is generally a 25 pin female connector with which a printer is usually attached.
Limitations
Recognizes only specified font (the one present in database) number plate only.
At certain point may can’t clearly recognize or distinguish character like B and 8, 2 and Z , 0 and O etc.
The distance of image captured is also limited.
Sometimes even Lighting Conditions greatly effect the image processing.