Digital Images Flashcards

1
Q

What is the singular of ‘data’?

A

Datum

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2
Q

What can image analysis be used for?

A

To calculate morphological parameters on a computer

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3
Q

List the different types of radiation on the electorate-magnetic spectrum from the largest wavelength to the smallest.

A
Radio
Microwave
Infrared
Visible
Ultraviolet
X-ray
Gamma ray
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4
Q

What is the wavelength of radio waves?

A

10^3

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5
Q

What is the wavelength of microwaves?

A

10^-2

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6
Q

What is the wavelength of infrared?

A

10^-5

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7
Q

What is the wavelength of visible light?

A

0.5x10^-6

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8
Q

What can image processing and analysis be used for in a biological context?

A
CT-scanner
CT slice
MRI
radiography
Counting objects (e.g. bacteria)
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9
Q

How many bits in a byte?

A

8 bits are in a byte

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10
Q

How many bytes are in a pixel?

A

A pixel = 1 byte

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11
Q

What is a pixel?

A

a sample of light based in that particular position

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12
Q

How many different combinations are there of 0 and 1 in a single byte?

A

256

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13
Q

An image is a sequence of numbers ranging between 0 and _____

A

255 (not 256 because we start at 0)

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14
Q

How many bytes does a greyscale image of size 800x600 occupy on the computer?

A

800x600= 480000 Bytes (480kB)

Because 1 pixel= 1 byte so an image of size MxN pixels occupies M x N Bytes

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15
Q

Some images use more than 8 bits for storing grey levels. With 16 bits, how many different values of grey can a pixel assume up to?

A

2^16 = 65536 different values of grey

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16
Q

How many Bytes does an RGB image of size 800x600 occupy on the computer?

A

800 x 600 x 3 = 1,440,000 Bytes (1.44 MB)

To get MB divide by 1 million

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17
Q

What three colours are used in colour images?

A

Red, Green, Blue

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18
Q

Image formation means?

A

Object in, image out (on computer)

19
Q

Image processing means?

A

Image in, image out

20
Q

Image analysis means?

A

Image in, features out (for example, area and perimeter)

21
Q

Computer graphics means?

A

Numbers in, image out

22
Q

Computer vision means?

A

Image in, interpretation out

23
Q

Visualisation means?

A

Image in, representation out

24
Q

What does the operation ‘image processing’ do?

A

1) Enhancement and restoration

2) segmentation (thresholding and edge detection)

25
Q

What does the operation ‘image analysis’ do?

A

Feature extraction and measuring

26
Q

Define binary image

A

A digital image that had only two possible values for each pixel

27
Q

Define image segmentation

A

The process of partitioning a digital image into multiple segments

28
Q

What is the goal of image segmentation?

A

To simplify/change the representation of an image into something simpler and easier to analyse

29
Q

Define image processing

A

The analysis and manipulation of a digitised image, especially in order to improve its quality

30
Q

Define image analysis

A

the extraction of meaningful information from images

31
Q

List some applications of image analysis (not necessarily biological)

A

1) to see the internal organisation of termite nests
2) co-localisation of markers in microscope images
3) counting trees in an oil palm plantation (via aerial image)

32
Q

What does dilation do?

A

Adds pixels to the edges of objects in a binary image

33
Q

What does erosion do?

A

Removes pixels form the edges of objects in a binary image

34
Q

What does watershed do?

A

Watershed segmentation is a way of automatically separating or cutting apart particles that touch

35
Q

What is a computer program?

A

A program is simply a sequence of instructions telling a computer what to do

36
Q

What is morphological filtering?

A

It is used to clean an image after segmenting it (it fills in holes, removes isolated background and foreground pixels etc)

37
Q

What does connected components labelling do?

A

It allows you to connect together pixels that belong to the same object

38
Q

Name two ways in which a high-level language can be translated into machine language which the computer can execute

A

You can either compile or interpret the language

39
Q

What does binarisation do?

A

It converts an image into black and white (background black, foreground white)

40
Q

Define grey level (or grey scale) image

A

A monochrome image in which pixels typically represent brightness values ranging from 0 to 255.

41
Q

Define restoration

A

Given a noisy sample of some true data, the goal of restoration is to recover the best possible estimate of the original true data.

42
Q

Define saturation

A

Reaching the upper limit of a dynamic range. For instance, intensity saturation occurs for an 8- bit monochromatic image when intensities greater than 255 are recorded: any such value is encoded as 255.

43
Q

Define thresholding

A

Thresholding is the quantization of an image into two values. One example is the conversion of a greyscale image to a binary image.