MATLAB VIDEO AND IMAGE PROCESSING BLOCKSET 3 User's Guide Page 21
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Key Blockset Con cepts
Defining Intensity and Color
The values in a binary, intensity, or RGB image can be different d ata types.
The data type of the image values determines which values correspond to
black and white as well as the absence or saturation of color. The following
table summarizes the interpretation of the upper and low er bound of each
data type. To view the data types of the signals at each p ort, from the Format
menu, point to Port/Sig nal Displays,andselectPort Data Types.
Data Type
Black or Absence of
Color
White or Saturation
of Color
Fixed point Minimum data type
value
Maximum data type
value
Floating point
01
Note Video and Image Processing Blockset considers any data type other
than double-precision floating point and single-precision floating point to be
fixed point.
For examp le, for a n intensity image wh ose image va lues are 8-bit unsigned
integers, 0 is black and 255 is w hite. For an intensity image whose image
values are double-precision floating point, 0 is black and 1 is white. For an
intensity image whose image values are 16-bit signed integers, -32768 is
black and 32767 is white.
For an RGB image whose image values are 8-bit unsigned integers, 0 0 0
isblack,255255255iswhite,25500isred,02550isgreen,and00255
is blue. For an RGB image whose image values are double-precision
floatingpoint,000isblack,111iswhite,100isred,010isgreen,
and 0 0 1 is blue. For an RGB image whose image v alues are 16-bit
signed integers, -32768 -32768 -32768 is black, 32767 32767 32767 is
white, 32767 -32768 -32768 is red, -32768 32767 -32768 is green, and
-32768 -32768 32767 is blue.
1-13
- VideoandImagePro 1
- User’s Guide 1
- 508-647-7000 (Phone) 2
- 508-647-7001 (Fax) 2
- The MathWorks, Inc 2
- 3 Apple Hill Drive 2
- Natick, MA 01760-2098 2
- Revision History 3
- Contents 5
- Working with MPlay 6
- Conversions 6
- Getting Started 9
- 1 Gettin g Started 10
- Installation 11
- Product Demos 13
- Viewing the Documentation 15
- What Chapter Should I Read? 17
- Key Blockset Concepts 19
- Defining Intensity and Color 21
- From File block dialog box 23
- Key Blockset Con cepts 25
- Coordinate Systems 27
- Sample Time 29
- Normal and Accelerator Mode 31
- Neares t neighbor 33
- Block Data Type Support 36
- Image Credits 40
- Importing and Exporting 41
- Working with AVI Files 42
- Exporting to AVI Files 46
- Same as input 47
- Importing and Exporting Video 48
- Intensity 50
- [[5 10]' [80 10]'] 54
- %d' 55
- '%s region 57
- 'Frame %d' 59
- Video only 60
- WorkingwithMultimediaFiles 65
- Separate color signals 66
- Exportin 67
- Fi xed- step 70
- Working with Audio 71
- Working with Multimedia Files 73
- 3 Working with MPlay 78
- Viewing Video Files 82
- 7 Experim 85
- IntensitytoBinaryConversion 88
- 4 Positi 89
- Connect the 91
- Autothreshold Block 93
- Color Space Conversion 100
- 4 Conversions 102
- Chroma Resampling 105
- Symmetric 107
- No pad ding 107
- Fixe d-st ep 111
- Geometric Transformation 113
- Interpolation Overview 114
- Bilinear Interpo lation 115
- 5 Geometri c Transformation 116
- 0 0 0 1 1 2 2 3 3 0 0 0 0 117
- 0 0 0 4 4 5 5 6 6 0 0 0 0 117
- 0 0 0 7 7 8 8 9 9 0 0 0 0 117
- Rotating an Image 118
- Expanded to fit 121
- Free running 121
- Resizing an Image 125
- Cropping an Image 132
- Morphological Operations 139
- Over view of Morphology 140
- CountingObjectsinanImage 141
- 6 Morphological Operations 142
- 'disk',15) 151
- Analysis and Enhancement 157
- Feature Extraction 158
- 7 Analysis and Enhancement 160
- Finding Lines in Images 165
- Zero-based 169
- Image Enhancement 183
- Separat e color signals 185
- I array at the output ports 185
- Separate color signals 185
- Pixel Statistics 215
- Separate color signa ls 217
- Example Applications 223
- Pattern Matching 224
- 8 Example Applications 226
- Fixed-step 229
- Motion Compensation 231
- Image Compression 233
- Accelerator mode 1-23 247
- Normal and Accelerator 1-23 250
- Normal mode 1-23 250
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