Segmentation and Grading of Sinus Images

This report discusses the research done and basic understanding of the proposed topic, which is Segementation and Grading of Sinus Images. The objective of the project is to experiment and explore the usage of wavelets to improve the flaws of the existing techniques. In this project, a trajectory-learning algorithm using contourlets is proposed to enhance the CT sinus image without sacrificing accuracy. The challenge in this project is to find the most favorable contourlets that will result in high accuracy.