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Made to measure morphological filters

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Presentation on theme: "Made to measure morphological filters"— Presentation transcript:

1 Made to measure morphological filters
Fernand Meyer Center of mathematical morphology Mines-ParisTech France

2 Non edge preserving filters
The adjunction erosion/dilation Openings/closings The simplest filters Alternate sequential filters

3 Erosions and dilations of increasing sizes

4 Erosions of increasing size
Regional minima get larger New maxima may appear. Most maxima vanish, others get larger.

5 Dilations of increasing size
New minima may appear. Most mainima vanish, others get larger. Regional maxima get larger, some coalesce, others disappear.

6 Erosion = minimal value in a window  darker image
Dilation = maximal value in a window  brighter image INCREASING WINDOW + STRONGER EFFECT Increasing erosions Increasing dilations

7 combining an erosion and a dilation in sequence, in order to get openings or closings.

8 An erosion Darker Followed by A dilation Brighter = opening Darker

9 openings of increasing size
Each reg. min. of a large closing contains a reg. Min. of each smaller opening Regional maxima get larger, some coalesce, others disappear.

10 A dilation Brighter Followed by An erosion Darker = closing Brighter

11 openings of increasing size
Regional minima get larger, some coalesce, others disappear. Each reg. max. of a large closing contains a reg. Max. of each smaller closing

12 Open-close, close-open, Open-close-open, close-open-close

13 An opening Darker Followed by A closing Brighter = morphological filter Similar grey tone

14 = morphological filter
A closing Brighter Followed by An opening Darker = morphological filter Similar grey tone

15 Opening followed by closing of increasing sizes
Regional minima Regional maxima

16 Closing followed by opening of increasing sizes
Regional minima Regional maxima

17 The two are not comparable
Opening followed by closing of increasing sizes Closing followed by opening of increasing sizes The two are not comparable

18 Close-open-close  open-close-open
Open close open of increasing sizes Close open close of increasing sizes Close-open-close  open-close-open

19 Closing followed by opening followed by closing of increasing sizes
Regional minima Regional maxima

20 A small closing followed by a small opening = small effects
A large closing followed by a large opening = too crude Alternate sequential filter = sequence of increasing pairs of an opening followed by a closing

21 Alternate sequential filter starting with an opening of increasing sizes
Regional minima Regional maxima

22 Alternate sequential filter starting with a closing of increasing sizes
Regional minima Regional maxima

23 We will now introduce edge preserving filters :
Partial conclusion Non edge preserving filters simplify the images but the displacement of the contours is annoying in many cases and in particular if the filter precedes image segmentation We will now introduce edge preserving filters : Razings Floodings Levelings


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