Lighting & Viewing Methods

for Industrial Machine Vision

 

 

 

Options & Choices

 

Machine Vision owes its versatility in large part to the variety of different lighting-viewing methods (LVMs) that are available. One of the distinctive features of Machine Vision is that we are very often free to employ whatever LVM best suits the application requirements. Within the synthetic environment of a factory, there are often several options for the lighting-viewing conditions available, thereby allowing us to optimise image quality. We can, for example, adjust

á      The number and spatial distribution of the light sources placed around the widget.

á      The spatial pattern of light projected onto the widget.

á      The intensity of each light source,

á      The spectral emission of each light source. (While we can control the colour of the incident light, we are not limited to using only the VIS wave-band.)

á      The polarisation of the light impinging on the widget,

á      The spectral response of the camera, by placing suitable optical filters in its optical path.

á      The polarisation of the light entering the camera.

á      The temporal pattern of light projected onto the widget,

á      The motion of the widget relative to the lighting-optical system and the lighting-optical system relative to the camera..

á      The spatial coherence of the light projected onto the widget.

 

Optical Devices

We can also employ a wide range of optical devices to enhance the image:

á      Mirrors. These may be plane, convex, concave, or anamorphic.

á      Lenses. These may be convex-convex, convex-concave, plano-convex, plano-concave, Fresnel, or cylindrical. They may be used singly, or in tandem, Micro-lens arrays are also available.

á      Polarisers. These may be linear, circular or elliptical.

á      Prisms. These come in a variety of shapes providing a range of functions.

á      Filters.

á      Beam-splitters and devices made of birefringent materials.

á      Gratings and diffraction filters

á      Quarter-wave plates

á      Diffusers, These may rely on transmission or reflection...

á      Fibre-optics. These may be flexible, or rigid, often in the form of a rod or plate.

 

Types of Cameras

Several different types of image sensor can be used

á      array-scan

á      line-scan

á      circular scan

á      random (program controlled) scan

á      laser scanner

á      range sensor.

 

An image sensor may detect radiation  in any of the following spectral bands

á      Visible wave-band (monochrome)

á      Visible wave-band (colour)

á      Multi-spectral (

á      Infra red (IR)

á      Thermal (part of the IR wave-band)

á      UV radiation

á      X-ray

 

Alternatively, image sensors may be based on detecting

á      Eddy currents

á      Electron beams

á      Magnetic field

á      Microwaves

á      Neutron beams

á      Nuclear magnetic resonance

á      Pressure

á      Tactile sensors

á      Ultra-sound

 

Wide Range of Options

We can use the natural motion of artefacts as they are being transported around the factory, or arrange for the widgets to be moved in some controlled way past the camera. Such a wide range of options provides considerable versatility to design of the image acquisition sub-system, However, it does increase the difficulty that the vision engineer faces in choosing the optimal lighting-viewing method (LVM). Despite this, some general principles have been discerned and are represented here as a series of distinct LVMs, which can be used singly, or in various combinations.

 

Pay Careful Attention to the Lighting

The task of finding the optimal LVM is often perplexing. New-comers to Machine Vision frequently make the mistake of restricting their attention to familiar domestic/office illumination equipment (e.g. a desk lamp), believing implicitly that machines see things in the same way as people do. Most people grossly under-estimate the wide temporal and spatial variations in brightness and colour that occur in natural and environmental lighting. It is unrealistic to believe that software can always compensate for poor lighting. Adopting a casual approach to lighting will almost always make the overall system much more complex and far less reliable than it should be. It is only by understanding the general physical principles involved in image formation and appreciating the relative merits of a wide range of LVMs that an optimal system can be selected/designed.

 

Finding the Optimal LVM

No catalogue like this can provide a complete substitute for experience and careful observation. The most powerful weapon in the vision engineer's armoury is his/her own eyes. But they must be used carefully, bearing in mind the warnings that we have described. By moving a point source of light around the widget and observing its changing appearance, it is possible to gain a great deal of insight about which LVMs might be appropriate. (To be most effective, this should always be done in an otherwise darkened room.) Of course, this experimental approach cannot help us to select one of the more exotic lighting techniques but it is always well worthwhile looking at the widget first. In a majority of cases, explorative visual examination does help the designer a great deal. The merits of several of the LVMs described below were first discovered in this way!

 

Comments About the Diagrams

Some of the principal LVMs are presented here, in general non-quantitative form, without reference to physical scale, or their cost. In some cases, proprietary lighting units are available to implement these ideas and, where possible, we have included photographs and/or other details of such equipment. Some companies have kindly allowed us to include sample images to illustrate the use of their lighting-viewing products, by demonstrating what kind of images can be expected. Such a mention in these pages does not endorse these products, implying the author's preference over those made by competitive organisations. Failure to mention a company's products should not be inferred as implying that they are in any way inferior to those mentioned here.

 

Combinations of LVMs

Optical components; such as lenses, mirrors, filters prisms and, of course, the camera are the basic building blocks of the image acquisition sub-system. They can be assembled in a very wide variety of ways. These web pages illustrates some of the standard LVM arrangements that we can build but, as a person gains more experience, the potential benefits of previously untried configurations become apparent. The LVMs illustrated here must be tailored individually, to suit the needs of each application. They can be used singly, or in various combinations. For example, it is possible to perform a useful inspection function using back illumination at one wavelength and front illumination at another. Alternatively, we might combine range maps and colour images,, or x-rays and fluorescence. Clearly, we cannot list all possible combinations and, in practice, a great deal of experimentation and cunning is required, to obtain the best results. The entries in this catalogue should be regarded as being merely prompts guiding the practitioner towards a few possible solutions for a given application. Having thus identified a set of plausible suggestions, he/she can then concentrate on evaluating them experimentally, to find the best one.

 

Catalogue

á      The LVMs indexed below are presented in alphabetical order, since it is not possible to define any usful

á      The reader is urged to become familiar with the concept and use of Illumination Diagrams, as these are used extensively throughout this catalogue. (See Chapter ???)

á      Light sources are represented graphically, using icons suggesting the use of filament lamps. It should be understood, however, that in many cases, other light sources, such as discharge tubes, compact fluorescent lamps and LEDs might be more appropriate.

 

 

Note to Publisher - in the table below, the column headed CDR/JPEG indicates how many CorelDRA/JPEG files there are. If the JPEG entry is 3, you should find images corresponding to parts a, b and c of that Figure.

 

 

Click on the Links Below

 

Method & links

CDRs

JPEGs

No - publisher ignore.

3D Shape Analysis by Projecting MoirŽ Patterns

10

10

101

All Round View of a Cylindrical Object

1

1

90

Anamorphic optics

 

 

26

Arbitrary Lighting Pattern

6

6

148

Automatic Gain Control & Auto-Iris Lens

0

0

136

Back Illumination of Shiny Objects

2

2

19

Back Lighting of Matt Opaque Objects

3

3

17

Back Lighting of Matt Opaque Objects

2

2

18

Circle of Light Projecting Radially Outwards

3

3

182

Circular features

5

5

61

Circularly Polarising Filter Suppresses Glinting

2

2

81

Coaxial Diffuse Illumination

2

3

12

Coherent Flexible Fibre Optic Bundle

1

1

38

Collapse Image into Line

1

2

32

Collecting Natural Light/Sun light

2

2

191

Colour filtering

9

9

58

Combined Back & Front Illumination

2

2

44

Combining Several Views

5

5

46

Conical Mirrors View an Annulus

2

2

49

Crack Detection (Ferrous & Non-ferrous)

0

0

114

Creating a Silhouette from Multiple Shadows

3

3

95

Crossed Linear Polarisers Reduce Glinting

1

2

84

Dark Field Illumination, array camera

3

3

21

Dark Field Illumination, line-scan camera

2

2

20

Detect Pimples, Pits & Changes of Refractive Index

2

4

55

Detecting Particles in a Swirling Liquid

1

1

125

Diffuse Coaxial Illumination

3

3

80

Diffuse Front Illumination

2

3

11

Dual Orthogonal-beam X-ray Imaging

1

3

151

Dual-wavelength Height Measurement

1

1

145

Endoscope for Inspecting Holes

1

3

86

Estimating Range During Image Capture

1

1

135

Examine the Inside of a Pipe

1

2

34

Fast Electronic Shutter

2

2

134

Fibre Optic Image Conduit / Converter

2

3

37

Fish–eye Lens Views Inside Hole

1

3

50

Flexible Inspection Cell / Robot Vision Cell

9

11

71

Fluorescence & Phosphorescence

1

3

106

Focussed annulus of light

1

1

91

Forced Thermal Emission

2

2

85

Generating Light With Arbitrary Spectrum

1

1

97

Grazing Illumination

2

3

13

Hand-held Sensor for Fixed-range Close-up View

1

1

152

Hardness Testing

1

1

117

High Resolution View of Web

1

1

130

Highly Variable Ambient Lighting

2

2

137

Homogenising Illumination

1

2

160

Illuminating a Wide Moving Web

4

4

75

Illumination within a Hollow Cylinder

2

3

79

Incomplete - no link (Method 127)

 

 

127

Incomplete - no link (Method 128)

 

 

128

Injecting Light Into Glassware

2

2

140

Inspecting a Continuously Moving Web

4

4

92

Inspecting a Flat Moving Web Using a Laser Scanner

4

4

122

Inspecting a Rotating Object

2

3

195

Inspecting Granular Material (Pellets) in Free Flight

2

2

100

Inspecting objects on a conveyor

1

2

62

Inspecting Silhouette in Restricted Space

4

4

93

Inspection On a Conveyor Belt

1

1

74

Internal Analysis of an Aerosol Spray or Dust Cloud

2

2

76

Internal Features on Transparent Objects

0

1

22

Laser Bore Scanner

1

1

123

Laser Pattern Projector

1

1

170

Locate Object With Zero Contrast

3

3

68

Long Focus Optical System Using Mirrors

1

1

87

Low-definition Range Information

1

2

192

Magnify One Image Axis

2

3

30

Mapping Range with Polychromatic Light

6

6

67

Measuring Range by Projecting Patterns

2

2

142

Measuring Thickness of a Thin Film

2

2

146

Measuring Thickness of a Thin Film

1

1

172

Micro-louvres Suppress Ambient Light

2

2

193

Microscopic Fourier Analysis of Transparent Film

1

1

147

Motorised Filter Wheel

0

0

159

Multi-arm Image Conduit

1

1

39

Multi-Camera Specular & Near Specular Illumination

2

2

14

Multi-camera Structured Lighting

2

2

112

Multiple Views of a Widget

1

5

43

Multi-spectral image sensing

3

3

60

Multi-View Stereo Imaging

3

3

138

Normal Viewing of Spherical Surface

3

3

88

Observing Bubbles in Clear Liquid

1

1

188

Omni-directional Illumination

2

4

10

Optical Fourier Transform - no link (Method 111)

1

1+1 missing

111

Optically Tooled Bowl Feeder

1

1

42

Passive De-speckling of Laser

1

1

184

Pipe or Hollow Cone of Light

2

2

167

Polar-coordinate scan of annulus

2

2

185

Projected Array of Spots

2

2

69

Protecting the Camera

1

2

83

Protecting the Camera Using a Periscope

2

2

110

Protecting the Camera with Fibre Optics

3

3

82

Range Maps by Projecting Multiple Stripes

1

3

66

Range Measurement Using Talbot Fringes

1

1

121

Reading Printing in Photo-chromic Ink

1

1+1missing

120

Real-Time Optical Filtering (High-pass)

1

1

98

Ring of Light Projecting Inwards

4

4

124

Rotate Image Using a Dove Prism

2

2

35

Size Measurement in Free Fall

1

1

96

Split  Field: Viewing Front & Back Simultaneously

2

2

150

Stabilised Lighting

1

1

131

Steerable Image Sensor

3

3

175

Steering  a Laser Beam in Two Directions

3

3

141

Stroboscopic Illumination

0

0

143

Structured Lighting

6

6

63

Switched-colour light source

2

2

59

Telecentric Lens

2

2

28

Using Mirrors to View Front and Back

2

2

48

Very Large Membrane Mirror

2

2

29

Vibration Analysis: Speckle Pattern Interferometry

1

1

156

View Annulus, Ignoring Central Disc

1

1

183

View flat surface without glinting

2

2

56

View Orthogonally Polarised Images

4

4

190

Viewing a Bore

2

3

33

Viewing Aerosol Spray

2

2

70

Viewing Inside an Irregular Transparent Object

1

1

133

Viewing Small Objects

1

1

24

Viewing Small Objects

1

1

25

Viewing Small Objects / Features

1

1

103

Viewing Stress in a Transparent Sheet

1

2

52

Visual Sensor Mounted On Robot

2

2

41

Visualise Changes in Refractive Index

2

3

104

Visualising Heat Distribution

1

1

116

Wireless Image Acquisition

5

5

132

X-Ray Imaging

1

2

109

Zooming By Movement

1

2

51