How to perform object recognition in MatLab?

I am currently implementing a program that will segment and identify objects placed inside a refrigerator (vegetables, drinks, food...). My goal is to be able to designate objects in the fridge. For example, given a refrigerator interior image, the program should be able to tell which object is an apple, an orange, a bottle of milk... My approach is to start with a couple of template images (in a database) and then match those against stuff in the refrigerator using normalized cross correlation. However function normxcorr2 only works best with templates that are sub images of a bigger one. I'd like to train my program to recognize and efficiently classify objects.

[Sivakumaran Chandrasekaran]

can you post your input image here..

Answer 1

[Image Analyst]

normxcorr2 is good when you have a template of what you want to look for. You probably won't have a template for the apple or the dish of butter. This is a very challenging task, one that goes far beyond the type of help we offer here. You're best off searching VisionBib for a suitable algorithm, or Google "image understanding" or "cbir" or things like that.

[Igor P. Louzolo-Kimbembe]

Alright, thank you... I appreciate your help.

[Stalin Samuel]

i have a food image how to identify each dish from the image

[Image Analyst]

You can use image processing.