how to find autocorrelation for an image?
MATLAB: How to find autocorrelation for an image
autocorrelation
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It depends on the autocorrelation. If the autocorrelation occurs at a certain lag, then add a MA term at that lag. If the autocorrelation is a several lags, add AR terms. Another method is that you add AR and MA lags until the autocorrelation disapears. Check the T-values of the coefficients and remove those terms with insignificant coefficients. It is a bit of a trial-and-error process. Add terms and see if you can remove the autocorrelation. However, keep an eye on the T-values. The same process applies for removing the heteroscedasticity.
Your first step is to look at section 20.5 here to see how others have done it: http://www.visionbib.com/bibliography/contentsmedical.html#Medical%20Applications,%20CAT,%20MRI,%20Ultrasound,%20Heart%20Models,%20Brain%20Models Next you have to decide if your job is to invent a new method or apply one of the exiting methods . If you need to invent a new or improved method (like you're working on your Masters or Ph.D. degree), after knowing all the other methods, you have to decide on your approach that would be new and novel, or at the very least, an improvement over existing methods. If you need to invent or improve a method, then you can't really ask us to develop your feature finding algorithm for you since it has to be yours, not ours. I can tell you that there are functions for the operations you listed (entropy, correlation, etc.) in toolboxes such as the Image Processing Toolbox. And I can also refer you to my File Exchange http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862 which has demos on grayscale and color segmentation methods. They will be a great start for you to learn the basics of how to do segmentation in MATLAB.
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