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Texture Featuring Based on Watershed

Texture Featuring Based on Watershed. Karsten Rodenacker, Uta Jütting GSF-Institut für Biomathematik und Biometrie Neuherberg 11.05.98. Content. Introduction Some remarks about watershed Textural featuring Examples Summary. Introduction. Textures. Properties. Texture elements.

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Texture Featuring Based on Watershed

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  1. Texture Featuring Based on Watershed Karsten Rodenacker, Uta Jütting GSF-Institut für Biomathematik und Biometrie Neuherberg11.05.98

  2. Content • Introduction • Some remarks about watershed • Textural featuring • Examples • Summary

  3. Introduction • Textures Properties Texture elements Regularity ? What is texture? Segmentation

  4. Some remarks about watershed • Definition • Given an image and a local maximum at point m. Consider all monotonous decreasing paths w(m,l) starting from m and ending in l. • The set of all points l is a connected region. • The set of all such regions is a partition of the input image, the order corresponds with the number of local maximums. • The borders of the regions are the watersheds

  5. Some remarks about watershed • Definition (continued) • The inversion of the above definition concerning maximum by minimum and decreasing by increasing delivers a second type of watershed.

  6. Some remarks about watershed • Explanation • 1-dimensional

  7. Some remarks about watershed • Explanation • 2-dimensional

  8. Some remarks about watershed • Explanation • 2-dimensional

  9. Some remarks about watershed • Result of transformation • Input image (original, smoothed 3x3)

  10. Some remarks about watershed • Result of transformation • Watersheds (labelled regions)

  11. Some remarks about watershed • Result of transformation • Watersheds

  12. Some remarks about watershed • Result of transformation • Lower, upper ricefield

  13. Some remarks about watershed • Result of transformation • Half height segmentation HU (black)/HL (white)

  14. Textural featuring • global • Statistical estimators (moments) from: • half height segmentations and original • topological gradient • Derived parameters • stereological (volume densities) • densitometric • morphometric

  15. Textural featuring • global, e.g. volume density mean particle area Euler number Rel. density difference

  16. Textural featuring • heuristical • neighborhood related of connected regions (graph theoretical approach) • connectivity • distances • neighborhood AND intensity related • pattern matching • ...

  17. Examples • global texture features: • VVU Volume density • RDD Relative density difference

  18. Examples • Projects • Differentiation of hormone status of breast carcinoma patients VVU, RDD • Differentiation of osteoblasts under different growth conditions (Osteoporosis) RHUA • Differentiation of neuroendocrine lung tumours HUCV

  19. Examples • global texture features: RDD

  20. Examples

  21. Examples • Projects

  22. Summary + Topology by watershed • Taxonomy of transformation results + Segmentation + Parameter free featuring - Noise sensitivity of watershed - Difficulties of interpretation for natural images (reflected light, shadows, ...)

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