LESSON 2

Question 1

it is an integral feature EXTRACTION TECHNIQUE in image
processing and computer vision, essential for detecting simple geometric shapes like
lines, circles, and ellipses in images

Answer 1

The Hough Transform (HT)

Question 2

It is especially effective in identifying distorted, incomplete, or partially obscured
shapes, making it invaluable when traditional edge detection methods fall short

Answer 2

The Hough Transform (HT)

Question 3

it operates by transforming image space into parameter space, enabling the detection of shapes through pattern identification in this transformed space.

Answer 3

The Hough Transform (HT)

Question 4

The Hough Transform (HT) is especially effective in identifying ____, _____, _____ making it invaluable when traditional edge detection methods fall short

Answer 4

distorted
incomplete
partially obscured
shapes

Question 5

It is widely used in tomography, such as in CT scans, where it helps reconstruct images from projection data

Answer 5

Radon Transform

Question 6

it is a mathematical integral transform that maps a function defined on a plane to a function defined on the space of lines in the plane

Answer 6

Radon Transform

Question 7

The Radon transform was introduced by ___ in ___ and has applications in various fields, including image processing and partial differential equations

Answer 7

Johann Radon
1917

Question 8

(DCT)

Answer 8

Discrete Cosine Transform

Question 9

(HT)

Answer 9

Hough Transform

Question 10

It is widely used in signal processing and data compression, particularly in digital media such as JPEG images, MPEG videos, and MP3 audio

Answer 10

Discrete Cosine Transform (DCT)

Question 11

it expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies

Answer 11

Discrete Cosine Transform (DCT)

Question 12

The DCT was first proposed by ___ in ___ and is known for its energy compaction properties, making it effective for multimedia compression.

Answer 12

Nasir Ahmed
1972

Question 13

It is used in a wide range of applications, including signal processing, image analysis, and solving partial differential equations

Answer 13

Discrete Fourier Transform (DFT)

Question 14

it converts a finite sequence of equally-spaced samples of a function into a sequence of coefficients of a finite combination of complex sinusoids, ordered by their frequencies

Answer 14

Discrete Fourier Transform (DFT)

Question 15

It is used in various applications, including image compression, denoising, and feature extraction.

Answer 15

Wavelet Transform

Question 16

it is a mathematical technique that decomposes a signal into different frequency components and then studies each component with a resolution matched to its scale

Answer 16

Wavelet Transform

Question 17

Unlike the _____, which uses sine and cosine functions, the _____ uses wavelets, which are localized in both time and frequency

Answer 17

Fourier Transform
Wavelet Transform

Question 18

Unlike the Fourier Transform, which uses sine and cosine functions, the Wavelet Transform uses wavelets, which are localized in both ___ and
____

Answer 18

time
frequency

Question 19

it is known for its energy compaction properties, making it effective for multimedia compression.

Answer 19

DCT or Discrete Cosine Transform