Image Rendering For Grid Technology

IMAGE RENDERING FOR GRID TECHNOLOGY

ABSTRACT
In this paper, we propose a volume rendering method using grid computing for large-scale volume image. Grid computing is attractive because medical institutions and research facilities often have a large number of idle computers. A large-scale volume image is divided into sub-volumes and the sub-volumes are rendered using grid computing. When using grid computing, different computers rarely have the same processor speeds. Thus the return order of results rarely matches the sending order. However order is vital when combining results to create a final image. Job-Scheduling is important in grid computing for volume rendering, so we use an obstacle-flag which changes priorities dynamically to manage sub-volume results. Obstacle-Flags manage visibility of each sub-volume when line of sight from the view point is obscured by other sub volumes. The proposed Dynamic Job-Scheduling based on visibility substantially increases efficiency. Our Dynamic Job- Scheduling method was implemented on our university’s campus grid and we conducted comparative experiments, which showed that the proposed method provides significant improvements in efficiency for large scale volume rendering.

TABLE CONTENTS

Title Page———i

Certification——–ii

Dedication———iii

Acknowledgement——-iv

Abstract ———vi

Table of Content——–vii

 

Chapter One

1.0 Introduction ——-1

1.1 Statement of Problem——4

1.2 Purpose of the Study——5

1.3 Significance of Study——8

1.4 Limitation——–9

1.5 Scope of Study——-11

 

Chapter Two

2.0 Review of Related Literature —-12

2.6 Summary of Literature Review—- 19

 

Chapter Three

3.0 Research Methodology and Procedure—22

3.1 Population ——–22

3.2 Sample and Sampling Technique—-22

3.3 Validation of the Instrument —-23

3.4 Reliability of the Instrument —–23

3.5 Data Analysis. 3.5 Data Analysis.——-23

 

Chapter Four

4.0 Presentation and Discussion of Result—24

4.1 Analysis and interpretaion of Data—25

4.2 Discussion of Results——38

 

Chapter Five

5.0. Summary, Conclusion, and Recommendation  –40

5.1 Summary——–40

5.2 Conclusion——–41

5.3 Recommendation——42

References ———45

Appendix 1——–47

Appendix ———50

GET MORE COMPUTER SCIENCE MATERIALS HERE

Sharing is caring!

Leave a Reply

shares