Overview
- Introduction
- Thresholding
- Segmentation
- Otsu's Method
- Edge Detection
- Canny Edge
- Outlook and Conclusion
6. Outlook and Conclusion
Congratulations, you have now built all the tools needed to use the final provided plugin called User_Interface.
It allows you to play around with the different kinds of image-processing-techniques, you learned to apply over the course of this project.
Tools similar to those you implemented could for example be applied to facilitate or automate the diagnosis for radiologists. There is therefore great research interest in segmentation, edge detection, and various similar processing methods.
In your report you should:
- Name at least two examples of current trends in image processing. Provide citations for each example and describe them briefly.
- For your examples, are they already applied to clinical routine? If not, do you think they soon will be? Try to explain why or why not.
In the last part, summarize what you have implemented and explained in your project report. Review the shortcomings of your approaches and how they could be mitigated in the future, and conclude your report.
Submission
Once you are finished with your code and satisfied with the results, please compress the entire src folder into a zip file and upload it to StudOn.
Afterwards, write the report and submit the PDF file as well.
The deadline for submission is August 26th at 23:55 via StudOn.
We recommend that you submit earlier versions of your project to avoid accidentally missing the deadline. Only the last version will be considered.
Thank you for your time and interest! We look forward to reading your reports and hope to see you again for future lectures, projects, or theses!
Best regards
Your MT2-Team