... representing information in order to increase the model’s reliability by considering information of smaller meaning, or by adding mechanisms for sorting, windowing, etc., to authorize this semantic information ... further in an example in Chapter 10 1.6 Fusion in signal and imageprocessing and fusion in other fields Fusion in signal and imageprocessing has specific features that need to be taken into account ... page intentionally left blank www.it-ebooks.info Information Fusion in Signal and ImageProcessing www.it-ebooks.info This page intentionally left blank www.it-ebooks.info Information Fusion in...
... 2.2 2.3 2.4 Introduction 15 What Is DigitalImage Processing? 15 The Origins of DigitalImageProcessing 17 Examples of Fields that Use DigitalImageProcessing 21 1.3.1 Gamma-Ray Imaging 22 1.3.2 ... Other Imaging Modalities Are Used 34 Fundamental Steps inDigitalImageProcessing 39 Components of an ImageProcessing System 42 Summary 44 References and Further Reading 45 DigitalImage Fundamentals ... 110 3.4.2 Image Averaging 112 Basics of Spatial Filtering 116 Smoothing Spatial Filters 119 3.6.1 Smoothing Linear Filters 119 3.6.2 Order-Statistics Filters 123 Sharpening Spatial Filters 125...
... 2.2 2.3 2.4 Introduction 15 What Is DigitalImage Processing? 15 The Origins of DigitalImageProcessing 17 Examples of Fields that Use DigitalImageProcessing 21 1.3.1 Gamma-Ray Imaging 22 1.3.2 ... acquiring an image of the area containing the text, preprocessing that image, extracting (segmenting) the individual characters, describing the characters in a form suitable for computer processing, ... regarding where imageprocessing stops and other related areas, such as image analysis and computer vision, start Sometimes a distinction is made by defining imageprocessing as a discipline in...
... 0xffa1,0xffa7,0xffb0,0xffba,0xffc6,0xffd3,0xffe2,0xfff1 } ; int in_ buffer[ BUF_SIZE]; int out_buffer[ BUF_SIZE]; int Gain; void main () { int i,j; Gain 0x20; EXPERIMENTS USING CODE COMPOSER STUDIO Table 1.2 } 23 (continued ) while (1) ... 185 5.2 FIR Filtering 189 5.3 Design of FIR Filters 201 5.2.1 5.2.2 5.2.3 5.2.4 Linear Convolution Some Simple FIR Filters Linear Phase FIR Filters Realization of FIR Filters 5.3.1 Filter Design ... A/D converter INPUT AND OUTPUT CHANNELS The reason for making this distinction is that each process introduces different distortions The sampling process brings in aliasing or folding distortions,...
... Floating-Point Implementation Using ASM Code Dot Product Using Software Pipelining for a Fixed-Point Implementation Dot Product Using Software Pipelining for a Floating-Point Implementation Sine ... either fixed- or floating-point processing Most examples implemented in this book can run using fixed-point processing Selecting C671x as Target Version invokes a floating-point implementation If ... Using RTDX for FIR Filtering LabVIEW–DSK Interface Using RTDX for Controlling the Gain of a Generated Sinusoid LabVIEW–DSK Interface Using RTDX for Controlling the Amplitude of a Generated Sinusoid...
... [8] K Chancharoen and B Sirinaowakul English Thai Machine Translation Using Sentence Pattern Mapping In Proceedings of the Fourth Symposium on Natural Language Processing, pp 2936, May 2000 [9] ... Natural Language Processing, pp 23-28, May 2000 [7] K Naruedomkul and N Cercone Generate and Repair Machine Translation In Proceedings of the Fourth Symposium on Natural Language Processing, pp 63-79, ... Jewriyavech Lexibase Model for Writing Production Assistant System In Proceedings of the Symposium on Natural Language Processingin Thailand, 1995 [4] S Meknavin, P Charoenpornsawat and B Kijsirikul...
... Colour ImageProcessingDigitalImageProcessing – Part II Colour ImageProcessing 1.1 Colour Fundamentals Colour imageprocessing is divided into two main areas: full colour and pseudo-colour processing ... (a) 12 Colour ImageProcessingDigitalImageProcessing – Part II (b) Figure Illustration of intensity slicing and colour assignment 13 Colour ImageProcessingDigitalImageProcessing – Part II ... Morphological ImageProcessingDigitalImageProcessing – Part II 2.3 Opening and closing In practical imageprocessing application, dilation and erosion are used most often in various combinations An image...
... Moving Average Filter 280 Recursive Implementation 282 Chapter 16 Windowed-Sinc Filters 285 Strategy of the Windowed-Sinc 285 Designing the Filter 288 Examples of Windowed-Sinc ... 255 DIGITAL FILTERS Chapter 14 Introduction to Digital Filters 261 Filter Basics 261 How Information is Represented in Signals 265 Time Domain Parameters 266 Frequency Domain Parameters ... 225 Chapter 13 Continuous Signal Processing 243 DIGITAL FILTERS Chapter 14 Introduction to Digital Filters 261 Chapter 15 Moving Average Filters ...
... development in the field of personal imaging is that of humanistic intelligence (HI) HI is a new information -processing framework in which the processing apparatus is inextricably intertwined with ... Toronto, since fall 1998 It also presents original material from the author’s own experience in inventing, designing, building, and using wearable computers and personal imaging systems since the ... Comparafit / 176 4.7.8 Combining Differently Exposed Images / 177 4.7.9 Certainty Functions / 177 ix x CONTENTS 4.7.10 Preprocessing (Blurring the Certainty Functions) and Postprocessing / 177 Lightspace...
... Color image filtering (8) • Results of vector median filtering: original noisy filtered SSIP’08 – Vienna, Austria Color imageprocessing & analysis 4.2 Color image filtering (9) The Median Filter ... Austria Color imageprocessing & analysis 4.2 Color image filtering (6) • Results of scalar adaptive filtering: original noisy filtered SSIP’08 – Vienna, Austria Color imageprocessing & analysis ... HDTV; web; cinema; archiving, involving image/ video restoration, colorization, image inpainting II Medical imaging applications: • • • Mostly involves image analysis Challenges => model image formation...
... Spatial Filtering 89 3.4.1 Linear Spatial Filtering 89 3.4.2 Nonlinear Spatial Filtering 96 ImageProcessing Toolbox Standard Spatial Filters 99 3.5.1 Linear Spatial Filters 99 3.5.2 Nonlinear ... Basic Steps in DFT Filtering 121 4.3.3 An M-function for Filtering in the Frequency Domain 122 Obtaining Frequency Domain Filters from Spatial Filters 122 Generating Filters Directly in the Frequency ... linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, ...