CIS581 Presentation Morphological Operations - PowerPoint PPT Presentation

1 / 27
About This Presentation
Title:

CIS581 Presentation Morphological Operations

Description:

... set of image processing operations that process images based on shapes. ... Dilation and Erosion are the basic operations, can be combined into more complex ... – PowerPoint PPT presentation

Number of Views:113
Avg rating:3.0/5.0
Slides: 28
Provided by: xuey3
Learn more at: https://cis.temple.edu
Category:

less

Transcript and Presenter's Notes

Title: CIS581 Presentation Morphological Operations


1
CIS581 Presentation Morphological Operations
  • Presented by Xueyan Li
  • Supervised by Longin Jan Lateckie

2
Presentation Outline
  • Terminology and properties of Morphology
    Operations
  • Structure element
  • Four morphological Principles
  • Iterative Morphological Operations
  • Matlab Programs and results images for each
    operation

3
Introduction---Morphology Operations
  • Terminology
  • Morphology a broad set of image processing
    operations that process images based on shapes.
  • Morphological operations apply a structuring
    elements to an input image, creating an output
    image of the same size.
  • Properties
  • Morphological operations simplify images, and
    quantify and preserve the main shape
    characteristics of objects.

4
Four morphological principles
  • Dilation
  • Erosion
  • Opening
  • Closing

5
Relationship of four operations
  • Dilation and Erosion are the basic operations,
    can be combined into more complex sequences.
  • Erosion and dilation are not invertible
    operations ---if an image is eroded and dilated,
    the original image is not re-obtained.
  • The combination of Erosion and dilation
    constitutes new operations ----opening and
    closing. They are the most useful morphological
    filtering.

6
Structuring element
  • Morphological operations can be customized for an
    application by the proper selection of the
    structuring element, which determines exactly how
    the object will be dilated or eroded.
  • matlab function strel() can create many kinds of
    structuring element
  • dish-shaped,
  • diamond-shaped,
  • ball-shaped,
  • square
  • flat linear with length LEN
  • arbitrary flat or a nonflat with the specified
    neighborhood

7
Dilation
  • Dilation allows objects to expand, then
    potentially filling in small holes and connecting
    disjoint object.
  • Performance laying the structuring element on
    the image and sliding it across the image.
  • 1) If the origin of the structuring element
    coincides with a 0 in the image, there is no
    change move to the next pixel.
  • 2) If the origin of the structuring element
    coincides with a 1 in the images, perform the
    OR logic operation on all pixels within the
    structuring element.


8
My input images

9
Matlab programming ---dilation
  • Read image
  • I imread(ford.tiff')
  • figure('Name', 'original')
  • imshow(I)
  • create structuring elements
  • 11-by-11 square
  • se1 strel('square',11)
  • Apply dilation operation
  • figure('Name', 'Dilate')
  • Idilate1 imdilate(I,se1)
  • Show the result image
  • subplot(1,1,1), imshow(Idilate1), title('11x11
    square')
  • original image (above)

Image after dilation (below)
10
Erosion
  • Erosion shrinks objects by etching away
    (eroding) their boundaries.
  • Performance
  • 1) If the origin of the structuring element
    coincides with a 0 in the image, there is no
    change move to the next pixel.
  • 2) If the origin of the structuring element
    coincides with a 1 in the image, and any of the
    1 pixels in the structuring element extend
    beyond the object (1 pixels) in the image, then
    change the 1 pixel in the image to a 0


11
Matlab programming ---erosion
  • Read image
  • I imread(ford.tiff')
  • figure('Name', 'original')
  • imshow(I)
  • create structuring elements
  • 11-by-11 square
  • se1 strel('square',11)
  • Apply erosion operation
  • figure('Name', 'Erode')
  • Ierode1 imerode(I,se1)
  • Show the result image
  • subplot(1,1,1), imshow(Ierode1), title('11x11
    square')
  • original image (above)

Image after erosion (below)
12
Opening
  • Opening consists of an erosion followed by a
    dilation and can be used to eliminate all pixels
    in regions that are to small to contain the
    structuring element.
  • In this case the structuring element is often
    called a probe, because it is probing the image
    looking for small objects to filter out of the
    image.


13
Matlab programming--- opening
  • Read image
  • I imread(ford.tiff')
  • figure('Name', 'original')
  • imshow(I)
  • create structuring elements
  • 11-by-11 square
  • se1 strel('square',11)
  • Apply the open opration
  • figure('Name', 'Open')
  • Iopen1 imopen(I,se1)
  • Show the result image
  • subplot(1,1,1), imshow(Iopen1), title('11x11
    square')
  • original image (above)

Image after opening (below)
14
Closing
  • Closing consists of a dilation followed by an
    erosion and connects objects that are close to
    each other. It can be used to fill in holes and
    small gaps.


15
Matlab programming ---closing
  • Read image
  • I imread(ford.tiff')
  • figure('Name', 'original')
  • imshow(I)
  • create structuring elements
  • 11-by-11 square
  • se1 strel('square',11)
  • Apply close operation
  • figure('Name', Close')
  • Iclose1 imclose(I,se1)
  • Show the result image
  • subplot(1,1,1), imshow(Iclose1), title('11x11
    square')
  • original image (above)

Image after closing (below)
16
Iterative Morphological Operations
  • We can apply one or several operations to an
    image iteratively.
  • InputImage ---(apply an operation)? outputImage1
  • ---(apply the operation again)? outputImage2
  • and so on..until get your desired image

17
Matlab program iterative operation of dilation
(1)
  • Original image after 1 dilation

after 5th dilations after inf
dilations
18
Matlab program iterative operation of dilation
(2)
  • Original image after 1 dilation

after 5th dilations after inf
dilations
19
Matlab program iterative operation of erosion
(1)
  • Original image after 1 erosion

after 5th erosions after inf
erosions
20
Matlab program iterative operation of erosion
(2)
  • Original image after 1 erosion

after 5th erosions after inf
erosions
21
Matlab program iterative operation of opening
(1)
  • Original image after 1 opening

after 5th openings after inf
openings
22
Matlab program iterative operation of opening
(2)
  • Original image after 1 opening

after 5th openings after inf
openings
23
Matlab program iterative operation of closing
(1)
  • Original image after 1 closing

after 5th closings after inf
closnings
24
Matlab program iterative operation of closing
(2)
  • Original image after 1 closing

after 5th closings after inf
closings
25
Morphological operations on gray-level image
Original image Image after dilation
Image after erosion
26
My programming files
  • 1. morphor.m
  • 2. bwmorhpr.m
  • If you are more interested in this topic, you
    can try to play the source code with a updated
    Matlab. Im sure a lot of fun there!

27
  • Thank you !
Write a Comment
User Comments (0)
About PowerShow.com