In the name of God Thyroid Benign Disease Nazila Abrishami June 2012
Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.
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Transcript of Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.
![Page 1: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/1.jpg)
Particle picking
Carlos Óscar S. SorzanoVahid Abrishami
Instruct Image Processing Center
![Page 2: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/2.jpg)
Particle picking
• The problem• Preprocessing• Automatic picking
– 3D Model-based picking– 2D Model-based picking– Feature-based picking
• Screening• Consensus picking
![Page 3: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/3.jpg)
The problem
![Page 4: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/4.jpg)
The problem
![Page 5: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/5.jpg)
The problem
![Page 6: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/6.jpg)
Preprocessing
• Downsampling• Fourier filtering• Wavelet filtering• Quantization
![Page 7: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/7.jpg)
Automatic picking: 3D model based
• Correlation peaks:• Cross-correlation• Fourier-correlation• Local-correlation• Normalized-correlation
• Threshold criteria:
![Page 8: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/8.jpg)
Automatic picking: 2D model based
• Correlation peaks:• Cross-correlation• Fourier-correlation• Local-correlation• Normalized-correlation
• Threshold criteria:
![Page 9: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/9.jpg)
Automatic picking: Feature based
91D vector
![Page 10: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/10.jpg)
Automatic picking: Feature based
• Classifier:• SVM• Naive Bayesian• Neural network• LDA
• Cascaded classifiers:• AdaBoost
![Page 11: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/11.jpg)
Manual supervision
![Page 12: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/12.jpg)
Automatic Screening
20D vector
![Page 13: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/13.jpg)
Screening: Mahalanobis distance
![Page 14: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/14.jpg)
Automatic Screening
![Page 15: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/15.jpg)
Automatic Screening
![Page 16: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/16.jpg)
Consensus picking
![Page 17: Particle picking Carlos Óscar S. Sorzano Vahid Abrishami Instruct Image Processing Center.](https://reader030.fdocuments.net/reader030/viewer/2022032704/56649d765503460f94a57af3/html5/thumbnails/17.jpg)
Conclusions
• Picking families:– 2D/3D Model based: “correlation”+threshold
criterion– Feature based: nD features+classifier
• A posteriori screening:– nD features+distance rank
• Consensus picking• State-of-the-art: 85% precision, 70% recall