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![2/16/2018 12
Spatial Domain Process
( , ) [ ( , )])
( , ):input image
( , ):output image
:an operator on defined over
a neighborhood of point ( , )
g x y T f x y
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](https://image.slidesharecdn.com/w3lec05dip-180216054357/75/Intensity-Transformation-12-2048.jpg)
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Intensity Transformation
This document discusses various digital image processing techniques. It covers connected component labeling, intensity transformations including linear, logarithmic and power law functions. It also describes spatial domain vs transform domain processing and examples of enhancement techniques like contrast stretching and intensity-level slicing. Finally, it discusses geometric transformations and image registration to align images.
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Overview of digital image processing and an introduction to connected components.
Describes the process of identifying connected components in an image and assigning unique labels.
Exploration of intensity transformation in image processing, covering types such as linear and logarithmic.
Comparison between processing images in spatial and transform domains, focusing on methodologies and outputs.
Details on point/pixel and local operations, and geometric transformations, including image registration applications.Focus on image registration, applications, and examples like panorama stitching.
Discussion of various intensity transformation functions like linear, logarithmic, power-law, and piecewise-linear.
Continuation of intensity transformation techniques including contrast stretching and bit-plane slicing.
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Intensity Transformation
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- 3. Connected component labeling theprocess of identifying the connected components in an image and assigning each one a unique label, like this:
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- 9. Contents Spatial domain vs.Transform domain Enhancement Intensity transformation functions Linear Logarithmic Power law Piecewise-Linear Transformation function Contrast stretching Intensity-level slicing Bit-plane slicing
- 10. 2/16/2018 10 Spatial Domainvs. Transform Domain Spatial domain image plane itself, directly process the intensity values of the image plane Transform domain process the transform coefficients, not directly process the intensity values of the image plane
- 11. Enhancement To manipulate animage so that the result is more suitable than the original for a specific application Problem oriented
- 12. 2/16/2018 12 Spatial DomainProcess ( , ) [ ( , )]) ( , ):input image ( , ):output image :an operator on defined over a neighborhood of point ( , ) g x y T f x y f x y g x y T f x y
- 13. Spatial Operations Point/Pixel operations Outputvalue at specific coordinates (x,y) is dependent only on the input value at (x,y) Local/neighborhood operations The output value at (x,y) is dependent on the input values in the neighborhood of (x,y) Geometric spatial transformations Affine transformation Image Registration
- 14. 2/16/2018 14 Point/Pixel operations Intensitytransformation function ( )s T r
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- 19. Image Registration One ofthe most important applications of geometric transformations is image registration Goal: Image registration seeks to align images taken in different times, or taken from different How: estimate a transformation that aligns the two or more images. Image registration has applications especially in • Medicine • Remote sensing • Entertainment
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- 23. Intensity transformation functions Linear Negative Identity Logarithmic Logtransform Inverse Log transform Power law nth power nth root
- 24. 2/16/2018 24 Some BasicIntensity Transformation Functions
- 25. 2/16/2018 25 Image Negatives Imagenegatives 1s L r
- 26. 2/16/2018 26 Example: ImageNegatives
- 27. 2/16/2018 27 Log Transformations LogTransformations log(1 )s c r
- 28. 2/16/2018 28 Example: LogTransformations
- 29. 2/16/2018 29 Power-Law (Gamma)Transformations s cr
- 30. 2/16/2018 30 Example: GammaTransformations
- 31. 2/16/2018 31 Example: GammaTransformations 1/2.5 s r
- 32. 2/16/2018 32 Example: GammaTransformations
- 33. 2/16/2018 33 Example: GammaTransformations
- 34. 2/16/2018 34 Piecewise-Linear Transformations ContrastStretching Expands the range of intensity levels in an image so that it spans the full intensity range of the recording medium or display device. Intensity-level Slicing Highlighting a specific range of intensities in an image often is of interest.
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- 36. 2/16/2018 36 Highlight themajor blood vessels and study the shape of the flow of the contrast medium (to detect blockages, etc.) Measuring the actual flow of the contrast medium as a function of time in a series of images
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