1. Figure 1 illustrates a simple "test image". The numbers represent the Gray-scale intensities of the pixels. (a) Determine the Gray-level cooccurrence matrix (GLCM) where the pixel offset is defined by d = 1 and 0 = 45° (also described as [1, 1]). Hence, estimate the texture
1. Figure 1 illustrates a simple "test image". The numbers represent the Gray-scale intensities of the pixels. (a) Determine the Gray-level cooccurrence matrix (GLCM) where the pixel offset is defined by d = 1 and 0 = 45° (also described as [1, 1]). Hence, estimate the texture
Computer Networking: A Top-Down Approach (7th Edition)
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![1. Figure 1 illustrates a simple "test image". The numbers represent the Gray-scale
intensities of the pixels.
(a) Determine the Gray-level cooccurrence matrix (GLCM) where the pixel offset is
defined by d = 1 and 0 = 45° (also described as [1,1]). Hence, estimate the texture
features (i) entropy, (ii) contrast, (iii) energy for the image in Figure 1.
(b) What would be the texture energy if the offset is changed to d = 1 and 0 =
90°.
0
0
0
2
2
01 1 1
0 1 1 2
2 2 2 3
3 3
3
23
22 3
Figure 1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F453e2dee-5bad-4d2e-a71f-6b8eeb7e8b02%2F59da3d53-5f28-4a23-b038-9c593ebee295%2Fee4dqp_processed.png&w=3840&q=75)
Transcribed Image Text:1. Figure 1 illustrates a simple "test image". The numbers represent the Gray-scale
intensities of the pixels.
(a) Determine the Gray-level cooccurrence matrix (GLCM) where the pixel offset is
defined by d = 1 and 0 = 45° (also described as [1,1]). Hence, estimate the texture
features (i) entropy, (ii) contrast, (iii) energy for the image in Figure 1.
(b) What would be the texture energy if the offset is changed to d = 1 and 0 =
90°.
0
0
0
2
2
01 1 1
0 1 1 2
2 2 2 3
3 3
3
23
22 3
Figure 1
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