Object Recognition: Fourier Descriptors and Minimum-Distance Classification

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Discusses an object recognition system I developed using minimum-distance classification of Fourier descriptors.

Object Recognition: Fourier Descriptors andMinimum-Distance Classification Cody A. Ray, Drexel University ECES 436 Image Signal Processing Thursday, June 6, 2010

Object Recognition

Connectivity 4-Connected Not 4-Connected 4-Connectivity 8-Connectivity 8-Connected Not 8-Connected

Boundary Following

Moore NeighborhoodAlgorithm

Fourier Descriptors

Boundary Following

Coordinates -> Complex Numbers

Reduced Fourier Descriptors

Minimum (Euclidean) Distance

Minimum-Distance Classifier Training Data Prototype Pattern Classes Testing Data Test Pattern Vector

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Object Recognition: Fourier Descriptors and Minimum-Distance Classification

1. Object Recognition: Fourier Descriptors andMinimum-Distance Classification Cody A. Ray, Drexel University ECES 436 Image Signal Processing Thursday, June 6, 2010

2. Object Recognition

3. Connectivity 4-Connected Not 4-Connected 4-Connectivity 8-Connectivity 8-Connected Not 8-Connected

4. Boundary Following

5. Moore NeighborhoodAlgorithm

6. Fourier Descriptors

7. Boundary Following

8. Coordinates -> Complex Numbers

9. Reduced Fourier Descriptors

10. Minimum (Euclidean) Distance

11. Minimum-Distance Classifier Training Data Prototype Pattern Classes Testing Data Test Pattern Vector

Hinweis der Redaktion

Square tesselation
Square tesselation
Discrete Fourier Transform, Throw Out High-Frequency Components, Inverse DFT