There is a small MATLAB code I want to get developed. The details of the task to be accomplished by the code are as follows:
The program would take as input two images. These would be jpeg images. The images represent the state of a grain ( collection of crystals) in a metal specimen before and after a tensile or other mechanical deformation. For simplicity, consider that the grain is of circular shape before and after
deformation it becomes an ellipse. The object is to calculate the strain distribution in this final elliptical grain and represent it by coloring the ellipse with different colors representing the extent of strain in the region. The color code can be arbitrary. A simple way to do this would be to superimpose the two images. Divide the ellipse into small segments and see the difference in the length of chords of the two figures to calculate the strain. This information can be qualitatively represented by coloring the regions (say red represents highest strain and yellow represents lowest strain). If you can think of any other logic of doing this or even any other way of representing the strain it would be fine as long as the purpose of the code is satisfied. I am attaching two typical images along with this mail representing the grain before and after deformation. If you have any other queries please let me know. Once you are clear with the problem we can then discuss the matter further if you are willing to take the project.
5 freelancers are bidding on average $180 for this job
Hello...I'm working in Matlab for 2 years...please contact me..
Hi all. This is a good question but i believe that this is not image processing task. This is a pure question to the stress engineers plus some Matlab skills. Here is my plan to solve this problem. 1) Read Image Daha Fazla
Ready to work on the assignment. please contact me via my email for further clarifications. Also see my profile.
I am Btech final year student from IITR. I can do this work. Please consider my bid
Hello I can have this done in no time, im an image processing expert