Image Processing In Physics at TU München | Flashcards & Summaries

# Lernmaterialien für Image processing in physics an der TU München

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Properties of a pixel

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• It's obtained computing averages over an area of the image
• It has (x,y) coordinates and intensity
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What is sampling?

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Digitization in space. Reduce the set of points we use to represent an image

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What is quantization?

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Discretization in intensity. Reduce the number of levels that every pixel can take

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Limitation of sampling

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Sampling is restricted to the field of view of the detector. Completing an image requires stitching several fields of view, for which we need to record the position of the detector and the time for each observation

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Limitation of quantization

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The levels that a detector can capture determine its dynamic range. Whatever falls out of that range causes saturation, leading to information loss

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Two categories of transformations

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• Coordinate vs. intensity
• Pixel-wise vs. neighborhood
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What are profile plots?

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Also known as line extractions, you plot the intensities over a line of an image

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What kind of transforms are the ones we apply to images?

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Linear and translation invariant. They act as an operator on the image

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What is Image contrast?

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It is the difference between the maximum and the minimum frequency of an image

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What is the mean of noise?

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What is the mean of noise?

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What is digitization?

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It is the representation of a continuous function with a finite set of points

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• 356343 Karteikarten
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## Beispielhafte Karteikarten für deinen Image processing in physics Kurs an der TU München - von Kommilitonen auf StudySmarter erstellt!

Q:

Properties of a pixel

A:
• It's obtained computing averages over an area of the image
• It has (x,y) coordinates and intensity
Q:

What is sampling?

A:

Digitization in space. Reduce the set of points we use to represent an image

Q:

What is quantization?

A:

Discretization in intensity. Reduce the number of levels that every pixel can take

Q:

Limitation of sampling

A:

Sampling is restricted to the field of view of the detector. Completing an image requires stitching several fields of view, for which we need to record the position of the detector and the time for each observation

Q:

Limitation of quantization

A:

The levels that a detector can capture determine its dynamic range. Whatever falls out of that range causes saturation, leading to information loss

Q:

Two categories of transformations

A:
• Coordinate vs. intensity
• Pixel-wise vs. neighborhood
Q:

What are profile plots?

A:

Also known as line extractions, you plot the intensities over a line of an image

Q:

What kind of transforms are the ones we apply to images?

A:

Linear and translation invariant. They act as an operator on the image

Q:

What is Image contrast?

A:

It is the difference between the maximum and the minimum frequency of an image

Q:

What is the mean of noise?

A:

0

Q:

What is the mean of noise?

A:

0

Q:

What is digitization?

A:

It is the representation of a continuous function with a finite set of points

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## Das sind die beliebtesten Image processing in physics Kurse im gesamten StudySmarter Universum

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