Image Processing and Computer Vision

Question 1

What are the types of digital images?

Answer 1

Binary images(0 or 1)
Gray scale images(0 (black) to 255 (white))
Colour images

Question 2

What is image processing?

Answer 2

a METHOD that perform operations on an image in order to get an enhanced image or extract information from it

Question 3

What is Computer Vision?

Answer 3

A FIELD in ARTIFICIAL INTELLIGENCE in which the computers are trained to interpret and understand the visual world.

Question 4

What happens in the mid-level of image understanding? provide examples.

Answer 4

Image segmentation and identify particular objects. Example=edges, colours, contours

Question 5

What is the input and output at mid-level of image understanding?

Answer 5

Input: Image
Output: Attributes extracted from those images.

Question 6

What does low-level involve? Give examples.

Answer 6

Involve primitive operations.
Examples are: Image processing
Noise reduction
Enhancement

Question 7

What is the input and output for low-level?

Answer 7

Input: Image
Output: Image

Question 8

In the key stages of DIP (Digital Image Processing), what is happening during the image acquisition?

Answer 8

Sensors
Lighting
Image formation

Question 9

In the key stages of DIP, what is happening during the pre-processing, and what level is involved?

Answer 9

Low-level and Mid-level. It consists of : 
-Image enhancement, 
-Image restoration,
-Colour image processing, 
-Multiresolution processing, 
-Image compression, -
Morphological processing.

Question 10

In the key stages of DIP, what is happening during the processing stage, and what level is involved?

Answer 10

Mid and High level. It consists of:

• Morphological processing
• Segmentation
• Representation and Description
• Object Recognition

Question 11

Morphological Image Processing describes…

Answer 11

The shapes and structures of an object in an image.

Question 12

Morphological Image Processing has two rules, name it.

Answer 12

Dilation and Erosion

Question 13

What does dilation do?

Answer 13

Dilation generally makes shapes in an image thicker. The output value of the pixel is the maximum value out of all the pixels in the neighborhood.

Question 14

What does Erosion do?

Answer 14

Erosion makes shapes in an image thinner. The output of the pixel is the minimum value out of all the pixels in the negihborhood.

Question 15

What is the difference between object detection and object recognition?

Answer 15

Object detection detects instances of an object in an image meanwhile Object recognition identifies a specific object in a digital image or video.

Question 16

What neural network has a U-shaped architecture and has more feature channels in its unsampling part?

Answer 16

U-Net

Question 17

What is perturbation?

Answer 17

A term with a similar meaning to when we add a layer of visual noise to an original image. (general meaning: changes causing from an outside influence)