Subcategory: Computer Science & Information Systems
Kamali Lowe - Hampton University
There is an emerging branch of technological research that focuses on the construction of nanorobots (nanobots). The creation of nanobots has a potential to revolutionize modern medicine in diagnosis, treatment and eventually a cure for disease. One aspect is to have a nanobot with enough complexity to enter a human body and to capture imaging of benign and cancerous cells internally. This research will investigate various approaches where nanorobotics can be used to conduct MRI and biopsy for cancer treatment. With an assumption that a robot can take a picture, would the nanobot able to process the image while it is in the body, or would it has to send an image to be processed by a computer with higher computing capability. Existing image processing algorithms (such as, Gradient Vector Flow and Color-Based Image Segmentation Using K-mean Clustering) will be investigated and selected image processing algorithms will be implemented. An enhanced, light-weighted version algorithm will be developed for the nanobot. A comparison between a traditional image processing and a light-weight version will be included in this presentation.
Funder Acknowledgement(s): This research is supported by grant from NSF HRD-1238838.
Faculty Advisor: Chutima Boonthum-Denecke, Chutima.Boonthum@hamptonu.edu
Role: Research algorithms of various types.