Chapter 9 Morphological Image Processing Introduction Morphology a
- Slides: 41
Chapter 9. Morphological Image Processing Introduction Morphology: a branch of biology that deals with the form and structure of animals and plants Morphological image processing is used to extract image components for representation and description of region shape, such as boundaries, skeletons, and the convex hull Chonbuk National University A. I. Lab Joon. Whoan Lee
Preliminaries (1) • Reflection • Translation Chonbuk National University A. I. Lab Joon. Whoan Lee
Example: Reflection and Translation Chonbuk National University A. I. Lab Joon. Whoan Lee
Preliminaries (2) • Structure elements (SE) Small sets or sub-images used to probe an image under study for properties of interest origin Chonbuk National University A. I. Lab Joon. Whoan Lee
Examples: Structuring Elements Accommodate the entire structuring elements when its origin is on the border of the original set A Chonbuk National University Origin of B visits every element of A At each location of the origin of B, if B is completely contained in A, then the location is a member of the new set, otherwise it is not a member of the new set. A. I. Lab Joon. Whoan Lee
Erosion Chonbuk National University A. I. Lab Joon. Whoan Lee
Example of Erosion (1) Chonbuk National University A. I. Lab Joon. Whoan Lee
Example of Erosion (2) Chonbuk National University A. I. Lab Joon. Whoan Lee
Dilation Chonbuk National University A. I. Lab Joon. Whoan Lee
Examples of Dilation (1) Chonbuk National University A. I. Lab Joon. Whoan Lee
Examples of Dilation (2) Chonbuk National University A. I. Lab Joon. Whoan Lee
Duality • Erosion and dilation are duals of each other with respect to set complementation and reflection Chonbuk National University A. I. Lab Joon. Whoan Lee
Duality • Erosion and dilation are duals of each other with respect to set complementation and reflection Chonbuk National University A. I. Lab Joon. Whoan Lee
Duality • Erosion and dilation are duals of each other with respect to set complementation and reflection Chonbuk National University A. I. Lab Joon. Whoan Lee
Opening and Closing • Opening generally smoothes the contour of an object, breaks narrow isthmuses, and eliminates thin protrusions • Closing tends to smooth sections of contours but it generates fuses narrow breaks and long thin gulfs, eliminates small holes, and fills gaps in the contour Chonbuk National University A. I. Lab Joon. Whoan Lee
Opening and Closing Chonbuk National University A. I. Lab Joon. Whoan Lee
Opening Chonbuk National University A. I. Lab Joon. Whoan Lee
Example: Opening Chonbuk National University A. I. Lab Joon. Whoan Lee
Example: Closing Chonbuk National University A. I. Lab Joon. Whoan Lee
Chonbuk National University A. I. Lab Joon. Whoan Lee
Duality of Opening and Closing • Opening and closing are duals of each other with respect to set complementation and reflection Chonbuk National University A. I. Lab Joon. Whoan Lee
The Properties of Opening and Closing • Properties of Opening • Properties of Closing Chonbuk National University A. I. Lab Joon. Whoan Lee
Chonbuk National University A. I. Lab Joon. Whoan Lee
The Hit-or-Miss Transformation Chonbuk National University A. I. Lab Joon. Whoan Lee
Some Basic Morphological Algorithms (1) • Boundary Extraction The boundary of a set A, can be obtained by first eroding A by B and then performing the set difference between A and its erosion. Chonbuk National University A. I. Lab Joon. Whoan Lee
Example 1 Chonbuk National University A. I. Lab Joon. Whoan Lee
Example 2 Chonbuk National University A. I. Lab Joon. Whoan Lee
Gray-Scale Morphology Chonbuk National University A. I. Lab Joon. Whoan Lee
Gray-Scale Morphology: Erosion and Dilation by Flat Structuring Chonbuk National University A. I. Lab Joon. Whoan Lee
Chonbuk National University A. I. Lab Joon. Whoan Lee
Gray-Scale Morphology: Erosion and Dilation by Nonflat Structuring Chonbuk National University A. I. Lab Joon. Whoan Lee
Duality: Erosion and Dilation Chonbuk National University A. I. Lab Joon. Whoan Lee
Opening and Closing Chonbuk National University A. I. Lab Joon. Whoan Lee
Chonbuk National University A. I. Lab Joon. Whoan Lee
Properties of Gray-scale Opening Chonbuk National University A. I. Lab Joon. Whoan Lee
Properties of Gray-scale Closing Chonbuk National University A. I. Lab Joon. Whoan Lee
Chonbuk National University A. I. Lab Joon. Whoan Lee
Morphological Smoothing • Opening suppresses bright details smaller than the specified SE, and closing suppresses dark details. • Opening and closing are used often in combination as morphological filters for image smoothing and noise removal. Chonbuk National University A. I. Lab Joon. Whoan Lee
Morphological Smoothing Chonbuk National University A. I. Lab Joon. Whoan Lee
Morphological Gradient • Dilation and erosion can be used in combination with image subtraction to obtain the morphological gradient of an image, denoted by g, • The edges are enhanced and the contribution of the homogeneous areas are suppressed, thus producing a “derivative-like” (gradient) effect. Chonbuk National University A. I. Lab Joon. Whoan Lee
Morphological Gradient Chonbuk National University A. I. Lab Joon. Whoan Lee
- Morphological processing in digital image processing
- Digital image processing
- Inflectional and derivational morphology
- Neighborhood processing in image processing
- Image enhancement by point processing
- Histogram processing in digital image processing
- A generalization of unsharp masking is
- Point processing in image processing
- Morphology process
- Translate
- Noise
- Compression models in digital image processing
- Image segmentation in digital image processing
- Huffman coding example
- Image sharpening and restoration
- Image geometry in digital image processing
- The range of values spanned by the gray scale is called:
- Digital image processing
- Maketform matlab
- Noise
- Oerdigital
- Introduction to digital image processing with matlab
- Image morphology is used to extract
- Morphology
- Introduction to morphology and syntax
- Bottom up processing
- Gloria suarez
- Top-down processing vs bottom-up processing
- Example of secondary processing
- Parallel processing vs concurrent processing
- Top down processing example
- Batch processing vs interactive processing
- Smallest teeth in permanent dentition
- Copyright
- Image processing place
- Image processing and analysis birchfield pdf
- Minimum perimeter polygon in digital image processing
- Area filling
- Spatial operations in image processing
- Opening image processing
- Idl medical
- Aliasing in image processing