Abstract

This project’s primary goal is to detect points of interest within the output data resulting from running a simulation of the Astrophysics N-Bodied problem (GRAPEcluster). Morphological Image Processing techniques will be applied to the visualized data in order to detect areas of interest within the original data. Several Morphological Image Processing techniques will be used and the results compared in the analysis. The final output of the VRAD (Visualization of Raw Astrophysics Data) System will be two-fold: first, the VRAD system will output a text file that contains the x, y and z coordinates of each region of interest in each time slice that is examined; second, the VRAD system will output three image files for each time-slice with the 2D regions of interest highlighted by a bounding box. In this way the VRAD system can act as a stand-alone program or be used in conjunction with the Spiegel visualization framework.

Publication Date

2007

Document Type

Master's Project

Student Type

Graduate

Degree Name

Computer Science (MS)

Department, Program, or Center

Computer Science (GCCIS)

Advisor

Bischof, Hans-Peter

Advisor/Committee Member

Gaborski, Roger

Advisor/Committee Member

Raj, Rajendra

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in December 2013.

Campus

RIT – Main Campus

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