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Color-Based Object Identifier Using LVQ
Baxter Smith Term 8 Computer Engineering
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Outline Intro: Color-Based Object Identification
Why do I want to use it? Why LVQ? Implementation of CBOI Results Conclusions
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Color-Based Object Identification
Classifying an object in an image based on its color Red = Coke Blue = Pepsi Green = Sprite Beige = Floor
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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
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Why LVQ? Each color is a 3D vector ie RGB All Reds are not the same
LVQ stores general direction of a color
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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
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Neural Network Map to Map to Class Subclass Output Input dR mR lR R R
dG G G mG B B lG Y dB mB lB Y
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Training Extract color from sample images of environment
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Results
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Conclusion Works Great!
Hopefully can extend to other colors in a less constrained environment
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