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Image Retrieval Using Haar Discrete Wavelet Transform

Image Retrieval Using Haar Discrete Wavelet Transform. Advisors : Chi-Hong Lin, Yung-Kuan Chan Speaker: Chin-Hong Lin ( 林志鴻 ) Date: 2005-05-04. Outline. Introduction Feature of image Image Retrieval Experiments Conclusion. Introduction. Haar Discrete Wavelet Transform. LL : 低頻.

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Image Retrieval Using Haar Discrete Wavelet Transform

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  1. Image Retrieval Using Haar Discrete Wavelet Transform Advisors:Chi-Hong Lin, Yung-Kuan Chan Speaker: Chin-Hong Lin (林志鴻) Date: 2005-05-04

  2. Outline • Introduction • Feature of image • Image Retrieval • Experiments • Conclusion

  3. Introduction Haar Discrete Wavelet Transform LL:低頻 HL、LH:中頻 HH:高頻 LEVEL1 LEVEL2 LEVEL3

  4. Level 3

  5. Feature of image Each Block for R、G、B Images LEVEL 3 N：total pixels of each block

  6. Image features for R Image Feature of image When LEVEL=3 (K個block) • Image features

  7. Distance between query and database images Image Retrieval System

  8. Weight (principal component analysis) Image Retrieval System 其中

  9. Experiments • 系統環境 Database Images: 500張 Query Image: 500張 • Haar Discrete Wavelet Transform LEVEL=6

  10. Experiments (Weight for R) R IMAGE

  11. Experiments (Weight for G) G IMAGE

  12. Experiments (Weight for B) B IMAGE

  13. 查詢結果 Experiments

  14. Experiments Rotation variant images Shift variant images

  15. Experiments Noise variant images Texture variant images Noise variant images (indecipherable)

  16. Conclusion • 本論文利用頻帶之間的權重突顯出影像特性達到加強查詢效果。 • 本論文實驗結果能提供不錯的查詢效果，且對影像大小變異、物件位移變異、旋轉變異以及紋理變異，均能有不錯的抵抗能力。

  17. THE END THANK YOU

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