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数字图像处理-图像分割
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Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
© 2002 R. C. Gonzalez & R. E. Woods
1
Chapter 10
Image Segmentation
•
Image analysis:
–
Extracting information from an image.
•
First step:
–
To segment the image
–
i.e. to subdivide an image into its constituent
regions or objects.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
© 2002 R. C. Gonzalez & R. E. Woods
2
Image Segmentation
•
Segmentation is based on two basic
properties of gray-level values:
–
Discontinuity, i.e. to partition the image based
on abrupt changes in intensity (gray levels), e.g.
edges
–
Similarity, i.e. to partition the image into
similar (according to predefined criteria)
regions, e.g. thresholding, region growing,
region splitting and merging
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
© 2002 R. C. Gonzalez & R. E. Woods
3
Outline
•
Detection of Discontinuities
–
Point, line detection
•
Edge Detection
–
Gradient Operators
–
Laplacian
•
Edge Linking & Boundary Detection
–
Local processing
–
Hough Transform
–
Global Processing via Graph-Theoretic Techniques
•
Thresholding
–
Basics
–
Role of Illumination
–
Simple Global Thresholding
–
Optimal Thresholding
–
Threshold Selection Based on Boundary Characteristics
–
Thresholds Based on Several Variables
–
Otsu Thresholding
•
Region-Oriented Segmentation
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
© 2002 R. C. Gonzalez & R. E. Woods
4
Detection of Discontinuities
•
3 basic types of gray-level discontinuities:
Points
Lines
Edges
•
Common method of detection: run a mask
through the image.
Digital Image Processing, 2nd ed.
www.imageprocessingbook.com
© 2002 R. C. Gonzalez & R. E. Woods
5
Chapter 10
Image Segmentation
9
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