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Final > IT (lecture 4) > Flashcards

IT (lecture 4) Flashcards

1
Q

A …… is a mathematical function, and it conveys some information

A

signal

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2
Q

A signal can be …. dimensional or …. dimensional or ….. dimensional signal

A

one, two, higher

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3
Q

…… signal is a signal that is measured over time such as voice signals

A

One-dimensional

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4
Q

The …… signals are those that are measured over some other physical quantities such as a digital image

A

two-dimensional

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5
Q

An ….. may be defined as a two-dimensional function, f(x,y), where x and y are spatial (plane) coordinates

A

image

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6
Q

The amplitude of f at any pair of coordinates (x,y) is called the ….. or …… of the image at that point

A

intensity, gray level

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7
Q

When x,y, and the intensity values of f are all finite, discrete quantities, we call the image a ……… image

A

digital

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8
Q

…… is the creation of images synthetically

A

Computer Graphics

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9
Q

…… is the enhancement and manipulation of the images- the result of which is usually another image

A

Image processing

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10
Q

……. is similar with image processing, but processing of multiple images, frames

A

Video processing

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11
Q

….. is the analysis and understanding of image content

A

Computer vision

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12
Q

…. is the automated recognition of patterns and reqularities in data

A

Pattern recognition

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13
Q

In image processing, the input is ….. and the output is …..

A

Image, image

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14
Q

In computer graphic, the input is …… and the output is …..

A

Input description, image

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15
Q

In computer vision, the input is ….. and the output is ……

A

Image, input description

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16
Q

In pattern recognition, the input is ….. and the output is …..

A

One signal, another signal

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17
Q

The principle energy source for images in use today is the …….

A

Electromagnetic energy spectrum

18
Q

Each bundle of energy is called a …..

A

photon

19
Q

…… could be as simple as being given an image that is already in digital form

A

Acquisition

20
Q

Generally, the …… stage involves preprocessing such as scaling

A

Image acquisition

21
Q

….. is the process of manipulating an image so the result is more suitable than the original for a specific application

A

Image enhancement

22
Q

It is an area that also deals with improving the appearance of an image

A

Image restoration

23
Q

Image enhancement, is ……, is based on human subjective preferences regarding what constitutes a good enhancement result

A

Subjective

24
Q

Image restoration, is ….., in the sense that restoration techniques tend to be based on mathematical or probabilistic models of image degradation

A

Objective

25
Q

It is an area that has been gaining in importance because of the significant increase in the use of digital images over the internet

A

Color image processing

26
Q

…… is used also as the basis for extracting features of interest in an image

A

Color

27
Q

……, are the foundation for representing images in various degrees of resolution

A

Wavelet transforms

28
Q

It is used for image data compression and for pyramidal representation, in which images are subdivided successively into smaller regions

A

Wavelet transforms

29
Q

Wavelet transforms is used for image ……. and for pyramidal representation, in which images are subdivided successively into smaller regions

A

Data compression

30
Q

….. deals with techniques for reducing the storage required to save an image, or the bandwidth required to transmit it

A

Compression

31
Q

….. is a collection of non-linear operations related to the shape or morphology of features in an image

A

Morphological processing

32
Q

….. deals with tools for extracting image components that are useful in the representation and description of shape

A

Morphological processing

33
Q

…… rely only on the relative ordering of pixel values, not on their numerical values, therefore are especially suited to the processing of binary images

A

Morphological operations

34
Q

….. partitions an image into its constituent parts or objects

A

Segmentation

35
Q

……. segmentation is one of the most difficult tasks in digital image processing

A

Autonomous

36
Q

The output of ….. stage is usually a raw pixel data, constituting either the boundary of a region or all the points in the region

A

Segmentation

37
Q

In general, the more accurate the ……, the more likely automated object classification is to succeed

A

Segmentation

38
Q

….. always follows the output of a segmentation stage

A

Feature extraction

39
Q

…… refers to finding the features in an image, region, or boundary

A

Feature detection

40
Q

…. assigns quantitative attributes to the detected features

A

Feature description

41
Q

….. is the process that assigns a label to an object based on its feature descriptors

A

Image pattern classification

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