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Komputer Grafik

Materi
  1. Introduction: Image Processing
  2. Image Model
  3. Gray-Scale Transformation
  4. Image Statistic
  5. Image Enhancement
  6. TranformasiFourier and Image Spectrum
  7. Image Filtering
  8. ReduksiNoise
  9. DeteksiTepi
  10. Image Feature Extraction (Color, Shape & Texture)
  11. Image Segmentation
  12. Image Application: Image Searching
  13. Image Application: Character Recognition
  14. Image Application: DeteksiObyekBerdasarkanWarna/Bentuk
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