radial basis functions and application in edge detection n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Radial Basis Functions and Application in Edge Detection PowerPoint Presentation
Download Presentation
Radial Basis Functions and Application in Edge Detection

Loading in 2 Seconds...

play fullscreen
1 / 10
aiko-perez

Radial Basis Functions and Application in Edge Detection - PowerPoint PPT Presentation

74 Views
Download Presentation
Radial Basis Functions and Application in Edge Detection
An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

  1. Radial Basis Functions and Application in Edge Detection Chris Cacciatore Tian Jiang Kerenne Paul

  2. Abstract • This project focuses on the use of Radial Basis Functions in Edge Detection in both one-dimensional and two-dimensional images. • Use a 2-D iterative RBF edge detection method. • Vary the point distribution and shape parameter. • Quantify the effects of the accuracy of the edge detection on 2-D images. • Study a variety of Radial Basis Functions and their accuracy in Edge Detection.

  3. Radial Basis Functions • Multi-Quadric RBF: • Inverse Multi-Quadric RBF: • Gaussian RBF: ()

  4. Project with Maple Leaf Initial image The most accurate image epsilon = 0.1

  5. Epsilon Variable epsilon = 0.01 epsilon = 0.05 epsilon = 0 epsilon = 1 epsilon = 2 epsilon = 0.1

  6. Total Image

  7. Edge Detection with another image Initial image

  8. Epsilon Variable epsilon = 0 epsilon = 0.05 epsilon = 0.1 epsilon = 0.3 epsilon = 1 epsilon = 0.2

  9. Epsilon Variable Epsilon=0.2 Epsilon=0.3 more accurate

  10. What to do: • Get familiar with MATLAB and use it to help analyze the code • Find other factors in the code rather than epsilon to make the image look different • Research further into how the code used works with Radial Basis Function (Multi-Quadric RBF) • Investigate the other two RBFs and their practicality in edge detection