Likelihood-based image segmentation and classification: a framework for the integration of expert knowledge in image classification procedures

Earth and Planetary Sciences

• Image 100%
• Knowledge 100%
• Classification 100%
• Image Classification 100%
• Segmentation 100%
• Probability Theory 60%
• Land Use 40%
• Pixel 40%
• Utility 40%
• Collection 20%
• Thailand 20%
• Datum 20%
• Outlier 20%
• Deforestation 20%
• Optimization 20%
• Information 20%
• Model 20%
• Cost 20%
• Experimentation 20%
• Criterion 20%
• Accuracy 20%
• Remote Sensing 20%
• Parameter 20%
• Utilization 20%
• Domain 20%
• Average 20%
• Class 20%

Computer Science

• Expert Knowledge 100%
• Procedures 100%
• Image Segmentation 100%
• Segmentation Method 66%
• Probability 66%
• Segmentation 66%
• Edge Detection 33%
• User 33%
• External Knowledge 33%
• Classes 33%
• Utilities 33%
• maximum-likelihood 33%
• Domains 33%
• Multispectral Data 33%
• Testing 33%
• Utility Function 33%
• Geometric Model 33%
• Classification Accuracy 33%
• Outlier 33%
• Posterior Probability 33%
• Software Development Tool 33%
• Classification Method 33%

Nursing and Health Professions

• Procedures 100%
• Classification 100%
• Image Segmentation 100%
• Variance 25%
• Deforestation 12%
• Experimentation 12%
• Spectroscopy 12%
• Remote Sensing 12%
• Maximum Likelihood Method 12%
• Software 12%
• Parameters 12%