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Xử lý ảnh trong cơ điện tử: Machine Vision. Chapter 5. Morphological Image Processing89

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Some Basic Morphological Algorithms... Some Basic Morphological Algorithms... Erosion and Dilation❖Erosion ➢ For image: I is a rectangular array of foreground and background... Opening a

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XỬ LÝ ẢNH TRONG CƠ ĐIỆN

Machine Vision

TRƯỜNG ĐẠI HỌC BÁCH KHOA

Giảng viên: TS Nguyễn Thành Hùn

Đơn vị : Bộ môn Cơ điện tử , Viện Cơ

Hà Nội, 2021

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Chapter 5 Morphological Image P

1 Preliminaries

2 Erosion and Dilation

3 Opening and Closing

4 Some Basic Morphological Algorithms

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1 Preliminaries

➢ Morphological operations are defined in terms of sets.

➢ In image processing, we use morphology with two types of sets of pixels: ob elements (SE’s).

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1 Preliminaries

❖Reflection

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1 Preliminaries

❖Translation

(a) A binary image containing one object (set), (b) A structuring elemen A (c) Image resulting from a morphological operation.

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Chapter 5 Morphological Image P

1 Preliminaries

2 Erosion and Dilation

3 Opening and Closing

4 Some Basic Morphological Algorithms

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2 Erosion and Dilation

❖Erosion

➢ For image:

I is a rectangular array of foreground and background

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2 Erosion and Dilation

❖Erosion

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2 Erosion and Dilation

❖Erosion

➢ Example

Us co wi pix Im str ele

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2 Erosion and Dilation

❖Dilation

(a) Image , I background origin) (c) D (d) Elongate element The boundary of

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2 Erosion and Dilation

❖Dilation

➢ Example

(a) Low-resolution text showing broken characters (see magnified view) (b) S (c) Dilation of (a) by (b) Broken segments were joined.

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3 Opening and Closing

❖Erosion vs Dilation

Dilation Erosion

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Chapter 5 Morphological Image P

1 Preliminaries

2 Erosion and Dilation

3 Opening and Closing

4 Some Basic Morphological Algorithms

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3 Opening and Closing

❖Opening

❖Closing

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3 Opening and Closing

(a) Image , composed of set (object) and background (b) Structuring element, I A B

of while being contained in ( is shown dark for clarity.) (d) Opening of by B A A A

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3 Opening and Closing

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3 Opening and Closing

❖Morphological opening and closing

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3 Opening and Closing

❖Using opening and closing for morphological filtering

(a) Noi (c) Erod erosion opening

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3 Opening and Closing

❖Using opening and closing for morphological filtering

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Chapter 5 Morphological Image P

1 Preliminaries

2 Erosion and Dilation

3 Opening and Closing

4 Some Basic Morphological Algorithms

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4 Some Basic Morphological Alg

❖Boundary Extraction

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4 Some Basic Morphological Alg

❖Boundary Extraction

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4 Some Basic Morphological Alg

❖Hole Filling

Hole filli containe

of (c) S I the foreg computa hole, set

Eq (9-1

(a) and (h

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4 Some Basic Morphological Alg

❖Hole Filling

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4 Some Basic Morphological Alg

❖Extraction of Connected Components

(a) S cont com

a 1 i com the i

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4 Some Basic Morphological Alg

❖Extraction of Connected Components

(a) bone f image clarity

X-SE of conne

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4 Some Basic Morphological Alg

❖Convex Hull

(a) Structuring elemen convergence with the s (a) (g) Convex hull (h contribution of each st

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4 Some Basic Morphological Alg

❖Convex Hull

(a) con line

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4 Some Basic Morphological Alg

❖Thinning

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4 Some Basic Morphological Alg

❖Thinning

(a) Struct Result of Result of

of thinnin was no ch Result of again (l)

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4 Some Basic Morphological Alg

❖Skeletons

(a) ma par (c) cen

of ske

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4 Some Basic Morphological Alg

❖Skeletons

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4 Some Basic Morphological Alg

❖Skeletons

Imp thr

at t ske fou set col

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