Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Cellular Edge Detection
Search
Kath
October 25, 2017
53
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Cellular Edge Detection
Kath
October 25, 2017
More Decks by Kath
See All by Kath
Inn Lab
kathsaz
0
66
Click & Collect
kathsaz
0
44
Foodie.me
kathsaz
0
44
Innovation Lab
kathsaz
0
43
Innovation Lab
kathsaz
0
65
Design Thinking
kathsaz
0
61
Innovation Lab
kathsaz
0
110
Smart Campus - Re-imagining the user experience
kathsaz
0
60
Big Data
kathsaz
0
54
Featured
See All Featured
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
1
520
What's in a price? How to price your products and services
michaelherold
247
13k
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
67
58k
Un-Boring Meetings
codingconduct
0
420
The Pragmatic Product Professional
lauravandoore
37
7.4k
The Hidden Cost of Media on the Web [PixelPalooza 2025]
tammyeverts
2
500
The Language of Interfaces
destraynor
162
27k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
510
A better future with KSS
kneath
240
18k
Automating Front-end Workflow
addyosmani
1369
210k
Code Reviewing Like a Champion
maltzj
528
40k
Reality Check: Gamification 10 Years Later
codingconduct
0
2.3k
Transcript
CELLULAR EDGE DETECTION FOR GRAYSCALE & BINARY IMAGES
None
None
CELLULAR AUTOMATON BINARY IMAGE
CELLULAR AUTOMATON GREYSCALE IMAGE
LEARNING AUTOMATON Von-neumann Moore
50% 50% LEARNING AUTOMATON Von-neumann Moore
10% 90% LEARNING AUTOMATON Von-neumann Moore
None
1200x800 Original 1200x800 Output image Cellular automata 1200x800 Learning automata
1200x800
1200x800 Output image Cellular automata 1200x800 Learning automata 1200x800 ..update
output image every generation Execute rules for N generations..
Final 1200x800 1200x800 Output image
EXPERIMENTS
None
None
CED CANNY PREWITT
None
CED CANNY PREWITT
CED CANNY PREWITT MSE PSNR (dB) MSE PSNR (dB) MSE
PSNR (dB) 1.368 6.8011 1.369 6.8075 1.367 6. 8017 3.493 6.7320 3.491 6.7346 3.488 6.7382 1.804 5.6016 1.802 5.6056 1.800 5.6120
LIMITATIONS
Manual adjustment of threshold Defeats the purpose (maybe) Slow for
big images
None
SUPPORTING SLIDES
Pseudocode
Reinforcement signal