The Essential Guide to Image Processing- P29 pptx

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The Essential Guide to Image Processing- P29 pptx

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Index 853 Weighted median interpolation, 285f Weighted median smoothers, 267–269, see also Running median smoothers computation, 267 operation, 268, 268f recursive, 269 Weighting function, 576 Welch estimate, 193 White Gaussian noise, 210, 213, 214, 234f, 245f, 250f, 554 Wiener filter, 147, 249, 254, 333, 334 Wiener restoration, 336f Windows in binary image morphology, 80–82, 81f Wraparound convolution, 107 X X-ray computed tomography, 742–744, 743f Y YIQ color coordinate system, 15 Yule-Walker equations, 335 Z Zero coding (ZC) primitive, 452 Zero-bit watermarking systems, 602–603, 618 Zero-mean additive white noise model, 230 Zero-padding in linear convolution, 110, 111f Zerotree-based framework and EZW coding, 478–485, 479f . 554 Wiener filter, 147, 249, 254, 333, 334 Wiener restoration, 336f Windows in binary image morphology, 80–82, 81f Wraparound convolution, 107 X X-ray computed tomography, 742–744, 743f Y YIQ color coordinate. Index 853 Weighted median interpolation, 285f Weighted median smoothers, 267–269, see also Running median smoothers computation, 267 operation, 268, 268f recursive, 269 Weighting function,

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Mục lục

  • Cover Page

  • Copyright

    • Copyright

    • Preface

      • Preface

      • About the Author

        • About the Author

        • 1 Introduction to Digital Image Processing

          • 1 Introduction to Digital Image Processing

            • Types of Images

            • Scale of Images

            • Dimension of Images

            • Digitization of Images

            • Sampled Images

            • Quantized Images

            • Color Images

            • Size of Image Data

            • Objectives of this Guide

            • Organization of the Guide

            • Reference

            • 2 The SIVA Image Processing Demos

              • 2 The SIVA Image Processing Demos

                • Introduction

                • LabVIEW for Image Processing

                  • The LabVIEW Development Environment

                  • Image Processing and Machine Vision in LabVIEW

                    • NI Vision

                    • NI Vision Assistant

                    • Examples from the SIVA Image Processing Demos

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