1. Zachary Starr Dept. of Computer Science, University of Missouri, Columbia, MO 65211, USA Digital Image Processing Final Project Dec 11 th /16 th, 2014 10:00 am Image Change Detection

2. Outline Motivation and Background Image Processing Tasks and Goals Algorithm and Implementation Details Results: Demo and Evaluation Summary and Future Work

3. Motivation and Background The Problem Limited current solutions My solution Two Pass CCL with image statistics Significance and uses Code is very flexible Wide variety of uses Importance

4. Image Processing Tasks and Goals Innovative Elements Limited current solutions Algorithm and Techniques Learned Gray to Binary CCL Image Statistics Comparison Techniques

5. Image Processing Tasks and Goals Sample Input Images Output Expected

6. Algorithm & Implementation Details Pseudocode CCL Two Pass Image matching Will go over more detailed during demo Tools C++ using Visual Studio OpenCV Image Libraries

7. Results: Demo and Evaluation Live Demo and Explanation

8. Results: Demo and Evaluation Spirals Example:

9. Results: Demo and Evaluation Spirals Offset Example:

10. Results: Demo and Evaluation Spirals Offset Example Corrected:

11. Results: Demo Color Image

14. Summary and Future Work Results Area/Perimeter Location Color Images Images with one large object Future Work