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 …..

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

25
It is an area that has been gaining in importance because of the significant increase in the use of digital images over the internet
Color image processing
26
...... is used also as the basis for extracting features of interest in an image
Color
27
......, are the foundation for representing images in various degrees of resolution
Wavelet transforms
28
It is used for image data compression and for pyramidal representation, in which images are subdivided successively into smaller regions
Wavelet transforms
29
Wavelet transforms is used for image ....... and for pyramidal representation, in which images are subdivided successively into smaller regions
Data compression
30
..... deals with techniques for reducing the storage required to save an image, or the bandwidth required to transmit it
Compression
31
..... is a collection of non-linear operations related to the shape or morphology of features in an image
Morphological processing
32
..... deals with tools for extracting image components that are useful in the representation and description of shape
Morphological processing
33
...... rely only on the relative ordering of pixel values, not on their numerical values, therefore are especially suited to the processing of binary images
Morphological operations
34
..... partitions an image into its constituent parts or objects
Segmentation
35
....... segmentation is one of the most difficult tasks in digital image processing
Autonomous
36
The output of ..... stage is usually a raw pixel data, constituting either the boundary of a region or all the points in the region
Segmentation
37
In general, the more accurate the ......, the more likely automated object classification is to succeed
Segmentation
38
..... always follows the output of a segmentation stage
Feature extraction
39
...... refers to finding the features in an image, region, or boundary
Feature detection
40
.... assigns quantitative attributes to the detected features
Feature description
41
..... is the process that assigns a label to an object based on its feature descriptors
Image pattern classification