Difference between revisions of "User:Saweiner"
From REU@MU
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==='''Friday 6/1'''=== | ==='''Friday 6/1'''=== | ||
* Familiarized myself with several graph-theoretic terms and concepts, in preparation for future research | * Familiarized myself with several graph-theoretic terms and concepts, in preparation for future research | ||
| − | * | + | * Completed ''Fast Approximate Energy Minimization via Graph Cuts'' (Boykov et al.) |
* Located and obtained the Ford-Fulkerson publication on flow networks in Memorial Library | * Located and obtained the Ford-Fulkerson publication on flow networks in Memorial Library | ||
Revision as of 19:36, 5 June 2018
Contents
Project Description
Throughout Marquette University's 10-week summer REU program, Computation Across the Disciplines, I will be researching applications of graph theory to computer vision and image segmentation problems. More specifically, I hope to be able to utilize the graph-cut technique in order to isolate images of the heart and its components from CT scans provided by local hospitals. I will be working under the guidance of Dr. Naveen Bansal.
Week 1 (5/29 - 6/1)
Tuesday 5/29
- Attended REU orientation
- Met briefly with Dr. Bansal to begin planning the summer's research
Wednesday 5/30
- Read introduction to Neural Networks: a Comprehensive Foundation
- Met with Dr. Bansal and graduate student to begin learning about statistical applications to image segmentation
Thursday 5/31
- Met with graduate student to obtain preliminary research publications
- Met with Dr. Bansal to clarify research goals and outline the structure of the project
- Read several research articles and located five articles for further reading
Friday 6/1
- Familiarized myself with several graph-theoretic terms and concepts, in preparation for future research
- Completed Fast Approximate Energy Minimization via Graph Cuts (Boykov et al.)
- Located and obtained the Ford-Fulkerson publication on flow networks in Memorial Library
Week 2 (6/4 - 6/8)
Monday 6/4
- Completed Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images (Boykov et al.)
- Completed An Omptimal Graph Theoretic Approach to Data Clustering: Theory and Its Applications to Image Segmentation (Wu et al.)
- Began Graph Cuts and Efficient N-D Image Segmentation (Boykov et al.)
Tuesday 6/5
- Completed Graph Cuts and Efficient N-D Image Segmentation (Boykov et al.)
- Completed Normalized Cuts and Image Segmentation (Shi et al.)
