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Mathematical Morphology

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Presentation on theme: "Mathematical Morphology"— Presentation transcript:

1 Mathematical Morphology
Christopher Chedeau Gauthier Lemoine

2 Overview Goals Algorithms Segmentation Erosion & Dilation
Opening & Closing Gradient Hit & Miss Thinning Top Hat Convolution Reconstruction Watershed Min-Max Tree Goals Segmentation Edge detection Skeletonization Image compression Noise reduction Feature Detection

3 Mathematical Morphology
Who Ecole des Mines – Paris Georges Matheron Jean Serra Theories Set Theory (Binary) 70’s Lattice Theory (Grayscale) 80’s Topology

4 Erosion & Dilation

5 Structuring Elements

6 Erosion – Disconnect Shapes

7 Opening & Closing

8 Gradient

9 Grayscale

10 Grayscale - Dilation

11 Grayscale - Operations

12 Top Hat

13 Top Hat

14 Hit & Miss – Pattern Matching

15 Structuring Elements

16 Thinning - Skeletonization

17 Skeletonization - Potatoes

18 Skeletonization 3D

19 Convolution Emboss Edge Detect Blur

20 Convolution - Sobel

21 Reconstruction

22 Reconstruction - Border

23 Reconstruction - Grayscale

24 Airport Runways

25 Watershed

26 Watershed With Markers

27 Watershed - Calculator

28 Min-Max Tree

29 Min-Max Tree Segmentation

30 Min-Max Tree Compression

31 Conclusion Simple Algorithms Problem Specific Input Process Chains

32 Questions?


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