Identify a phenomenon that one can visually observe (such as a plant infestation, a crack on a concrete surface, a mole on skin, the number of chocolate chips in a cookie, anything that catches your attention).
Take a photograph or pick one that is posted online under a licence that permits non-commercial reuse with modifications (always be sure to respect the privacy and copyrights of others).
Use steps similar to those of the example code to highlight in some way the phenomenon of interest in your input image.
Show your code, the input image, the intermediate images, and the end result, along with a brief written description of your reasoning for the process and how satisfied you are with the result.
Investigate tools (either within Python or independent ones) for creating animated GIFs. Create an animation that show the stages of the image evolution either for the stages of the example code or for the process you implemented in the basic stage. Learn to control the speed at which the animation proceeds, the size of the animated image, and whether or not it loops after reaching the end.
Include in your response the steps required to build the animation and the resulting GIF.
First, read about or watch videos about the potential of computational analysis of satellite imagery in monitoring phenomena such as Amazon deforestation or ice sheet behavior at the poles. Write a paragraph or two in your own words to summarize your findings.
Then, look for similar reports or scientific studies regarding the use of other aerial imagery (from airplanes, helicopters, or drones, for example) for cattle management and agriculture, traffic analysis, control and detection of wildfires, and/or urban development. Summarize again your findings in writing, emphasizing any differences you may have encountered between the first and the second type of studies.
Finally, look into the use of automated image processing for industrial quality control (finding bad apples, literally, or cracked cookies), medical imagery (MRI scans, analysis of X-rays, photos of skin lesions, etc.). Discuss again your findings and contrast with those from the first two groups of studies.
Remember again to cite clearly all sources you consult during your research. Please share interesting sources you encounter with your fellow students while working on the assignment using the MS Team for students; you can acknowledge the contributions of your companions in a brief paragraph at the end of our response.
Read about specialized cameras (spectral imagery, hyperspectral imagery). Discuss the different variants you find and how these technologies differ from regular RGB cameras. In terms of how expensive the special cameras are, what applications can you think of that would clearly benefit from having a specialized camera instead of a regular one?
Remember to cite all your sources, share resources with your companions, and acknowledge their contributions at the end of your response.