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Chapter 9. Morphological Image Processing. Preview. Morphology: denotes a branch of biology that deals with the form and structure of animals and plants. Mathematical morphology: tool for extracting image components that are useful in the representation and description of region shapes.

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Chapter 9

Chapter 9

Morphological Image Processing


Preview
Preview

  • Morphology: denotes a branch of biology that deals with the form and structure of animals and plants.

  • Mathematical morphology: tool for extracting image components that are useful in the representation and description of region shapes.

  • Filtering, thinning, pruning.


Scope
Scope

  • Will focus on binary images.

  • Applicable to other situations. (Higher-dimensional space)


Set theory
Set Theory

  • Empty set

  • Subset

  • Union

  • Intersection

  • Disjoint sets

  • Complement

  • Difference

  • Reflection of set B:

  • Translation of set A by point z=(z1,z2):


Logic operations
Logic Operations

  • AND

  • OR

  • NOT


Dilation
Dilation

  • With A and B as sets in Z2, the dilation of A by B is defined as:

  • Or, equivalently,

  • B is commonly known as the structuring element.




Erosion
Erosion

  • With A and B as sets in Z2, the erosion of A by B is defined as:

  • Dilation and erosion are duals:




Opening and closing
Opening and Closing

  • Opening of set A by structuring element B:

  • Erosion followed by dilation

  • Closing of set A by structuring element B:

  • Dilation followed by erosion


Opening
Opening

  • Opening generally smoothes the contour of an object, breaks narrow isthmuses, eliminate thin protrusions.


Closing
Closing

  • Closing tends to smooth contours, fuse narrow breaks and long thin gulfs, eliminate small holes, fill gaps in the contour.




Hit or miss transform
Hit-or-Miss Transform

  • Shape detection tool


Boundary extraction
Boundary Extraction

  • Definition:


Region filling
Region Filling

  • Beginning with a point p inside the boundary, repeat:

    with X0=p

  • Until Xk=Xk-1

  • Conditional dilation



Extraction of connected component
Extraction of Connected Component

  • Beginning with a point p of the connected component, repeat:

    with X0=p

  • Until Xk=Xk-1

  • The connected component Y=Xk




Convex hull
Convex Hull

  • A set A is said to be convex if the straight line segment joining any two points in A lies entirely within A.

  • The convex hull H of an arbitrary set S is the smallest convex set containing S.

  • H-S is called the convex deficiency of S.

  • C(A): convex hull of a set A.


Algorithm
Algorithm

  • Four structuring elements: Bi, i=1,2,3,4

  • Repeat

    with X0i =A until Xki=Xk-1i to obtain Di

  • Theconvex hull of A is:



Thinning
Thinning

  • The thinning of a set A by a structuring element B is defined as:








Extension to gray scale images
Extension to Gray-Scale Images

  • Dilation Max

  • Erosion Min





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