Presentation

[Hari31416]

Some Details

• Time: June 15 at 1700 Hrs
• Length: About half an hour

[Hari31416]

Proposed Outline for the Presentation

1. Introduction
   • The Problem
   • Background Information
     • How Computor Store Images
     • Various Types of Image
     • The Color Channel
2. Our Solution
   • Preprocessing
     • Load Image
     • Cropping
     • Thresholding
     • Subtracting (Used later)
     • The Main Method
     • Working of the Main Method
     • Problems with the Main Method
     • The Needle
     • The Thin Film
     • Partial Solution to these problems using Dynamic Cropping
     • Working of Dynamic Cropping
   • More Robust Methods
     • Subtracting Image and then using the Main Method
     • Fitting an Ellipse to the Image
     • Determining the coordinates
     • Fitting the ellipse
3. Extracting Data and Preliminary Analysis
   • Creating Modules
     • Why Modules?
     • Extracting data in a few lines of codes
     • Easier to debug
     • Easier to work when get more videos
     • The CenterExtracter class
     • The Run class
     • The Plotter and Smoother classes
     • Using the CenterExtracter and Run modules to extract data
   • Preliminary Analysis
     • Using the Smoother class for smoothing
     • Using the Plotter class for plotting
     • Plots of $x, y, v_x, v_y, r_1, r_2$ and theta against time
     • Plots of x vs y; $v_x$ vs $v_y$
4. What Next?
   • Increasing The Accuracy
     • Using grayscale image instead of binary image
     • Plotting intensity vs time and using it to determine the coordinates
   • Smoothing the data
     • Using convolution to smooth the data