Machine Vision Flashcards

1
Q

In an industrial context, what do we use Machine Vision for?

A
  • Visual Inspection
  • Counting
  • Measurement
  • Locating
  • Decoding
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2
Q

What are some of the key factors to consider when selecting a lighting system?

A
  • Target characteristics
  • Inspection task
  • Colour (or grey tone)
  • Feeding speed
  • Flash of continuous illumination
  • Ambient conditions
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3
Q

What are the two main catagories of light orientations we use for machine vision?

A

Backlighting and Top Lighting

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4
Q

What are the features of Backlighting?

A
  • Great Contrast
  • Contour Projection Independent of the Object Surface
  • Suitable for Dimension Measurement
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5
Q

What are the features of Top Lighting?

A
  • Material Properties
  • Surface Effect Image
  • Sensitive to External Light
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6
Q

What are the five main catagories of Top Lighting used?

A
  • Full / Partial Bright Field
  • Dark Field
  • Diffuse Dome
  • Axial Diffuse
  • Flat Diffuse
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7
Q

If each primary colour intensity is discretized with a byte (8 bits), then how many colours can an RGB camera detect?

A

(2^8)^3 = 16777216

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8
Q

What are the two types of Lenses?

A

Telecentric and Endocentric (Conventional)

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9
Q

What are the main features of a Telecentric Lens?

A
  • Object size independent of distance
  • No distortion, no dependent on external light
  • Big lens, very expensive
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10
Q

What are the main features of a Endocentric Lens?

A
  • Cheap and small
  • Object size depends on the distance
  • Distortions
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11
Q

What is the formula of the working distance of a lens?

A

g = f (G/B + 1)

f is the focal length
g is the working distance
G is the field view
B is the sensor size

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12
Q

What is the formula for the resolution?

A

Resolution = Length of part / Number of Pixels

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13
Q

What is the typical accuracy of a lens?

A

+5 resolution or -5 resolution

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14
Q

What is a Monadic Operation for Image Processing?

A

An operation where the output image is the same size as the input image, and the same function is applied to all pixels

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15
Q

What is a Diadic Operation for Image Processing?

A

Two images are combined into a single image, and we can use binary arithmetic operations

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16
Q

What is a Spatial Operation for Image Processing and what do we use them for?

A

Each pixel is a function of their surrounding ones
Uses include convolution, smoothing, boundary effects, edge detection, template matching etc…

17
Q

What is Mathematical Morphology for Image Processing and what do we use it for?

A

Each pixel is a function of a subset of pixels (not only surrounding ones)
Uses include Noise Removal and Boundary Detection