Edge Detection Comparison - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

Edge Detection Comparison

Description:

Applies a 3x3 convolution filter row-wise in order to determine the gradient of ... 1. Snyder, W. E., Qi, H. Machine Vision, Cambridge University Press, 2004. ... – PowerPoint PPT presentation

Number of Views:31
Avg rating:3.0/5.0
Slides: 20
Provided by: BruceJ
Category:

less

Transcript and Presenter's Notes

Title: Edge Detection Comparison


1
Edge Detection Comparison
  • Team Orange Project Presentation
  • Ryan Bolt
  • Bruce Johnson
  • Murali Uppala
  • Brian Sharp

2
Edge Detectors Considered
  • Sobel
  • Prewitt
  • Laplace

3
Sobel
  • Applies a 3x3 convolution filter row-wise in
    order to determine the gradient of the
    surrounding pixels.
  • Pixel is a member of an edge if the intensity of
    it is greater than that of the members of its
    surrounding pixels.

4
Prewitt
  • This is similar to the Sobel detector
  • Operates under the same principle except that it
    uses a different (simpler) convolution kernel.

5
Laplace
  • Applies one (x direction or y direction) 3x3
    convolution filter to a pixel in order to
    determine the gradient of the surrounding pixels.
  • Pixel is a member of an edge if the intensity of
    it is increasing faster than that of the members
    of its surrounding pixels.

6
MATLAB Testing
7
Laplace MATLAB Results
8
Sobel MATLAB Results
9
Prewitt MATLAB Results
10
DATA FLOW
11
Design Flow
12
VHDL Flow Chart
13
Simulation Reading Pixels in
14
Simulation Calculating 1 Output Pixel
15
Writing Back to Memory Simulation
16
Xilinx Floorplan
17
Resources Used
  • Number of BUFGMUXs 6 out of 16
    37
  • Number of DCMs 2 out of 8
    25
  • Number of External IOBs 13 out of 556
    2
  • Number of LOCed IOBs 13 out of 13
    100
  • Number of JTAGPPCs 1 out of 1
    100
  • Number of PPC405s 2 out of 2
    100
  • Number of RAMB16s 56 out of 136
    41
  • Number of SLICEs 2159 out of
    13696 15

18
Initial Results
19
Works Cited
  • 1. Snyder, W. E., Qi, H. Machine Vision,
    Cambridge University Press, 2004.
  • 2.http//fourier.eng.hmc.edu/e161/lectures/gradien
    t/node8.html
Write a Comment
User Comments (0)
About PowerShow.com