Image Acquisitionand Proces

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Image Processing 107 FIGURE 5.29 Subtract images — wiring diagram. FIGURE 5.30 Subtract constant from image — wiring diagram. FIGURE 5.31 Subtract constant from image.
108 Image Acquisition Processing with LabVIEW 5.4.3 OTHER BASIC OPERATORS Operator IMAQ Multiply Description Dst x, y SrcA x, y SrcB x, y ( ) = ( ) + ( ) Multiplies the pixels of two source images, or one source image with a constant. Be careful to match the source and destination images so that pixel intensity clipping does not occur (e.g., decrease the intensity range of the source images, or increase the destination image). ( ) = Dst x, y ( ) ( ) SrcA x, y SrcB x, y IMAQ Divide Divides the pixels of the Þrst source image with the pixels of the second source image or a constant. ( ) = Dst x, y { ( )} ( ) Const SrcA x, y SrcB x, y IMAQ MulDiv Computes a ratio between the two source images. Each pixel in Source Image A is multiplied by a constant and then divided by its equivalent Source Image B pixel. Unlike other basic operators, a temporary variable is used to perform this operation; so information is not lost due to compression FIGURE 5.32 IMAQ Modulo { } ¥ ( ) = ( ) - ( ) Dst x, y SrcA x, y SrcB x, y ( ) Í SrcA x, y ú Í ú Î SrcB( x, y) û Executes modulo division (remainder) of one image by another or an image by a constant 5.4.4 AVERAGING Image averaging is a well-tested method of minimizing acquired random image noise, hence increasing the signal-to-noise ratio (SNR). A common error when
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IMAGE PROCESSING SERIES Series Edit
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Foreword The introduction of LabVIE
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FIGURE 1 Vision 6.1 FIGURE 2 Compan
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Acknowledgments My gratitude goes o
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Dedication To Don “old fella” P
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Contents Chapter 1 Image Types and
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Chapter 4 Displaying Images........
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Chapter 7 Image Analysis...........
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1 Image Types and File Management F
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Image Types and File Management 3 F
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Image Types and File Management 5 A
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Image Types and File Management 7 C
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Image Types and File Management 9 p
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Image Types and File Management 11
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Image Types and File Management 13
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2 Setting Up You should never under
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Setting Up 17 FIGURE 2.3 (a) Interl
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Setting Up 19 Linear Aray Light Sou
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Setting Up 21 FIGURE 2.7 National I
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Setting Up 23 2.1.3.2 Control and I
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Setting Up 25 FIGURE 2.11 X-Ray ima
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Setting Up 27 Apple Computer techno
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Setting Up 29 FIGURE 2.17 An inexpe
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Setting Up 31 Although this would b
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Setting Up 33 134 -115 \ Contrast =
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Setting Up 35 resolution printer wi
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Setting Up 37 C A B C Traditional T
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Setting Up 39 Camera Light Source O
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Setting Up 41 Camera Light Source (
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Setting Up 43 FIGURE 2.37 (a) An ob
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Setting Up 45 FIGURE 2.41 (a) PCB p
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48 Image Acquisition Processing wit
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Morphology 157 6.5 CASE STUDY: FIND
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Morphology 159 6.6 USER SOLUTION: D
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Morphology 161 ULTRASOUND MACHINE (
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Morphology 163 FIGURE 6.31 The Edit
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166 Image Acquisition Processing wi
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8 Machine Vision A generally accept
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Machine Vision 219 TABLE 8.1 “IMA
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Machine Vision 221 TABLE 8.3 Input
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Machine Vision 223 packages, includ
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Machine Vision 225 good sense to ad
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Machine Vision 227 TABLE 8.4 “IMA
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Glossary 1-Bit Image An image compr
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Glossary 231 binary display device
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Glossary 233 spatial Þlters, each
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Glossary 235 Resolution There are t
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Image Acquisitionand Proces

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