Object Recognition: Fourier Descriptors andMinimum-Distance Classification<br />Cody A. Ray, Drexel University<br />ECES 4...
Object Recognition<br />
Connectivity<br />4-Connected<br />Not 4-Connected<br />4-Connectivity<br />8-Connectivity<br />8-Connected<br />Not 8-Con...
Boundary Following<br />
Moore NeighborhoodAlgorithm<br />
Fourier Descriptors<br />
Boundary Following<br />
Coordinates -> Complex Numbers<br />
Reduced Fourier Descriptors<br />
Minimum (Euclidean) Distance<br />
Minimum-Distance Classifier<br />Training Data<br />Prototype Pattern Classes<br />Testing Data<br />Test Pattern Vector<b...
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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.

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  • Square tesselation
  • Square tesselation
  • Discrete Fourier Transform, Throw Out High-Frequency Components, Inverse DFT
  • Object Recognition: Fourier Descriptors and Minimum-Distance Classification

    1. 1. Object Recognition: Fourier Descriptors andMinimum-Distance Classification<br />Cody A. Ray, Drexel University<br />ECES 436 Image Signal Processing<br />Thursday, June 6, 2010<br />
    2. 2. Object Recognition<br />
    3. 3. Connectivity<br />4-Connected<br />Not 4-Connected<br />4-Connectivity<br />8-Connectivity<br />8-Connected<br />Not 8-Connected<br />
    4. 4. Boundary Following<br />
    5. 5. Moore NeighborhoodAlgorithm<br />
    6. 6. Fourier Descriptors<br />
    7. 7. Boundary Following<br />
    8. 8. Coordinates -> Complex Numbers<br />
    9. 9. Reduced Fourier Descriptors<br />
    10. 10. Minimum (Euclidean) Distance<br />
    11. 11. Minimum-Distance Classifier<br />Training Data<br />Prototype Pattern Classes<br />Testing Data<br />Test Pattern Vector<br />

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