1. Color-Based Object Identifier Using LVQ
Baxter Smith
Term 8 Computer Engineering

2. Outline Intro: Color-Based Object Identification
Why do I want to use it? Why LVQ?
Implementation of CBOI
Results
Conclusions

3. Color-Based Object Identification
Classifying an object in an image based on its color
Red = Coke Blue = Pepsi Green = Sprite Beige = Floor

4. Why did I choose this project?
Member of Intelligent Systems Laboratory at C-CORE
Robots to aid people in Harsh Environments
Sambuca: Currently uses Greyscale images for Vision

5. Why LVQ? Each color is a 3D vector ie RGB All Reds are not the same
LVQ stores general direction of a color

6. Implementation
Classifies each pixel of an image: Input: 3 Nodes ie RGB Hidden: 10 Nodes ie light, med, dark + beige Output: 4 Nodes ie Red Green Blue Beige

7. Neural Network Map to Map to Class Subclass Output Input dR mR lR R RdG G G mG B B lG Y dB mB lB Y

8. Training
Extract color from sample images of environment

9. Results

10. Conclusion Works Great!
Hopefully can extend to other colors in a less constrained environment