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FEATURES OF GLRM
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 2
For a given image a gray level run is defined as a set of consecutive, collinear
pixels having the same gray level.
 Runlength of the run is the number of pixels that has same intensity in the run
of particular direction.
The run-length matrix p (i, j) is defined by specifying direction and then count
the occurrence of runs for each gray levels and length in this direction.
Grey level run length matrix (RLM) features
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 3
Grey level run length matrix (RLM) features
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 4
Laws’ Texture Energy Features
• Signal-processing-based algorithms use texture filters
applied to the image to create filtered images from which
texture features are computed.
• The Laws Algorithm filter the input image using texture filters.
• Compute texture energy by summing the absolute value of
filtering results in local neighborhoods around each pixel.
• Combine features to achieve rotational invariance.
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 5
Laws’ Texture Energy Features
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 6
Creation of 2D Masks
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 7
9 Feature vectors
• Dot product of 5x5 masks - 9 feature vectors
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 8
Laws Filters
3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 9
Laws Process

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Features of Gray level run length matrix.pptx

  • 2. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 2 For a given image a gray level run is defined as a set of consecutive, collinear pixels having the same gray level.  Runlength of the run is the number of pixels that has same intensity in the run of particular direction. The run-length matrix p (i, j) is defined by specifying direction and then count the occurrence of runs for each gray levels and length in this direction. Grey level run length matrix (RLM) features
  • 3. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 3 Grey level run length matrix (RLM) features
  • 4. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 4 Laws’ Texture Energy Features • Signal-processing-based algorithms use texture filters applied to the image to create filtered images from which texture features are computed. • The Laws Algorithm filter the input image using texture filters. • Compute texture energy by summing the absolute value of filtering results in local neighborhoods around each pixel. • Combine features to achieve rotational invariance.
  • 5. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 5 Laws’ Texture Energy Features
  • 6. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 6 Creation of 2D Masks
  • 7. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 7 9 Feature vectors • Dot product of 5x5 masks - 9 feature vectors
  • 8. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 8 Laws Filters
  • 9. 3/4/2024 Department of Biomedical Engineering, SRMIST, KTR 9 Laws Process