Dear Veeranjaneyulu Toka,

Use image processing techniques based on Mathematical Morphological Operators.

There are bunch of clustering methods, such as:

color-based, pattern-based, shape-based etc.

Depending on your specific working space you need to select the best approach first. 

You can get an idea by reviewing examples here:

http://www.mathworks.com/discovery/image-segmentation.html?refresh=true

http://www.mathworks.com/videos/color-based-segmentation-with-live-image-acquisition-68771.html

Best, 

Dear Veeranjaneyulu Toka,

Usually, the image is processed with a  of low-pass and high pass filters combination. Then a segmentation technique is used.

For example, a useful sequence might be:

Gaussian filter + gradient magnitude filter +  similarity filter +  region growing technique. If you are interested I can send you sample code in C ++ for this type of application

Hi All, Thank you for all your suggestions.. I am experimenting different approaches, will post you my feedback based on results, accuracy is more important in my app.

@Miguel Vera: plz send me the sample code.

Thanks,

Veeru.

Hi All, computing boundary of single colour item would be easy... where as if the food item has mix of multiple colours, then there is a difficulty of finding out boundary of it.. anybody could share a good material or references which helps in this scenario?

Thanks,

Veeru.