Using the 2-D Morlet wavelet with supervised classification for retinal vessel segmentation

Keyphrases

• Feature Vector 100%
• Supervised Classification 100%
• Morlet Wavelet 100%
• Retinal Vessel Segmentation 100%
• Training Set 50%
• Automatic Segmentation 50%
• Vasculature 50%
• Complex Decisions 50%
• Area under the Receiver Operating Characteristic Curve 50%
• Non-mydriatic 50%
• Probability Distribution 50%
• Publicly Available 50%
• Bayesian Classifier 50%
• Method Performance 50%
• Gaussian Mixture 50%
• Noise Filtering 50%
• Class Conditional Probability 50%
• Filtered Enhancement 50%
• Vessel Enhancement 50%
• Conditional Probability Density Function 50%
• Image pixels 50%
• Manual Segmentation 50%
• Decision Surface 50%
• Pixel Intensity 50%
• Specific Frequency 50%
• Pixel Features 50%
• Morlet Wavelet Transform 50%
• Staring 50%
• Model Complex 50%
• DRIVE Database 50%
• Retinal Image 50%
• Fast Classification 50%
• Human Observer 50%

Computer Science

• Vessel Segmentation 100%
• Feature Vector 100%
• Supervised Classification 100%
• Wavelet Transforms 50%
• Manual Segmentation 50%
• Probability Density Function 50%
• Pixel Intensity 50%
• Decision Surface 50%
• Conditional Probability 50%
• Characteristic Curve 50%
• Gaussian Mixture 50%
• Bayesian Classifier 50%

Engineering

• Feature Vector 100%
• Gaussian Mixture 50%
• Receiver Operating Characteristic 50%
• Operating-Characteristic Curve 50%
• Bayesian Classifier 50%
• Conditional Probability Density 50%
• Complex Model 50%
• Multiple Scale 50%
• Noise Filtering 50%
• Human Observer 50%
• Probability Density Function 50%