Features of GLCM extracted using GLCM .pptx

Features of GLCM

1. FEATURES OF GLCM

2. Feature Comment F2: Contrast - Have discriminating ability. - Rotationally-variant. F3: Entropy - Have strong discriminating ability. - Almost rotational-invariant. F4: Variance - Have discriminating ability. - Rotational-invariant. F5: Correlation - Have strong discriminating ability. - Rotational-dependent feature. Features on co-occurrence matrix 2/28/2024 Department of Biomedical Engineering, SRMIST, KTR 2

3. Feature Comment F7: Sum average - Characteristics are similar to ‘variance’/F4 - Rotational-invariant. F10: Information Measure of Correlation–1 - It has almost similar pattern of ‘sum average’/F7 but vary for various classes - Varies significantly with rotation F11: Information Measure of Correlation–2 - It is computationally expensive compare to others. - Rotation-variant Features on co-occurrence matrix 2/28/2024 Department of Biomedical Engineering, SRMIST, KTR 3

4. Features on co-occurrence matrix Feature Comment F1: Angular Second Moment / Energy - No distinguishing ability F6: Inverse Different Moment - Similar to ‘angular second moment’/F1 F8: Sum Variance - Similar to ‘variance’/F4 F9: Sum Entropy - Similar to ‘entropy’/F3 2/28/2024 Department of Biomedical Engineering, SRMIST, KTR 4

5. Energy Entropy Correlation Contrast Inverse Difference Moment Variance Sum Mean Co-occurrence matrices 13 Haralick texture descriptors Inertia Cluster Shade Cluster Prominence Max Probability Inverse Variance Mode Probability 2/28/2024 Department of Biomedical Engineering, SRMIST, KTR 5

6. GLCM texture descriptors 2/28/2024 Department of Biomedical Engineering, SRMIST, KTR 6

7. GLCM texture descriptors 2/28/2024 Department of Biomedical Engineering, SRMIST, KTR 7

8. Co-occurrence matrices Global Features extracted are for the entire cube 13 Directions Four original 2D directions Nine new 3D directions 4 Distances 1, 2, 4, and 8 pixels 13 features extracted per distance per direction 13*4*13=676 features per cube 2/28/2024 Department of Biomedical Engineering, SRMIST, KTR 8