IT (lecture 5) Flashcards

1
Q

An example on …. is light reflected from a planar surface

A

Illumination energy reflection

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2
Q

An example on …. is when X-rays pass through a patient’s body for the purpose of generating a diagnostic X-ray image

A

Illumination energy transmission

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3
Q

…. digitizing the coordinate values

A

Sampling

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4
Q

….. digitizing the amplitude values

A

Quantization

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5
Q

….. requires that decisions be made regarding the values for M, N, and for the number, L, of discrete intensity levels

A

Image digitization

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6
Q

In ….. images, each pixel is just black or white

A

Binary

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7
Q

In ….., since there are only two possible values for each pixel, we only need one bit per pixel

A

Binary image

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8
Q

…. is very efficient in terms of storage

A

Binary image

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9
Q

In ….. images, each pixel is a shade of gray, normally from 0 (black) to 255 (white)

A

Greyscale

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10
Q

In ….. images, each pixel can be represented by eight bits, or exactly one byte

A

Greyscale

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11
Q

In ….. , each pixel has a particular color

A

True color, or RGB images

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12
Q

In ….., the color is described by the amount of red, green, and blue in it

A

RGB images

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13
Q

….. are also called 24-bit color images

A

RGB images

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14
Q

In …….., each pixel has a value which doesn’t give its color (as for an RGB image), but an index to the color in the map

A

Indexed image

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15
Q

Image files tend to be …..

A

Large

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16
Q

….. is a measure of the smallest discernible detail in an image

A

Spatial resolution

17
Q

…. refers to the smallest discernible change in intensity level

A

Intensity resolution

18
Q

The number of intensity level usually is an integer power of ….

A

Two

19
Q

……. refers to the number of bits used to quantize intensity

A

Intensity resolution