An entropy-weighted local intensity clustering-based model for segmenting intensity inhomogeneous images

Keyphrases

• Cluster-based 100%
• Intensity Inhomogeneous Image 100%
• Bias Field 100%
• Local Intensity 100%
• Entropy Weight 100%
• Intensity Clustering 100%
• Data Fitting 66%
• Numerical Simulation 33%
• Energy Functional 33%
• Region of Interest 33%
• Object Boundary 33%
• Superior Performance 33%
• Variational Model 33%
• Characteristic Function 33%
• Clustering Property 33%
• Heat Kernel 33%
• Regularization Term 33%
• Intensity Inhomogeneity Correction 33%
• Thresholding Scheme 33%
• Local Entropy 33%
• Iterative Convolution 33%

Engineering

• Bias Field 100%
• Energy Functional 33%
• Regularization 33%
• Region of Interest 33%
• Object Boundary 33%
• Characteristic Function 33%
• Segmented Region 33%
• Intensity Inhomogeneity 33%
• Heat Kernel 33%