Digital Image Processing 3rd Edition Instructor Manual

Digital Image Processing 3rd Edition Instructor Manual Average ratng: 3,7/5 2411 votes

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Solution Manual for Digital Image Processing and Analysis Applications with MATLAB and CVIPtools 3rd Edition Umbaugh

Solution Manual for Digital Image Processing and Analysis Applications with MATLAB and CVIPtools, 3rd Edition, Scott E Umbaugh, ISBN 9781498766029

Table of Contents

I. INTRODUCTION TO DIGITAL IMAGE PROCESSING AND ANALYSIS

CHAPTER 1. Digital Image Processing and Analysis

1.1 Overview

1.2 Image Analysis and Computer Vision

1.3 Image Processing and Human Vision

Image

1.4 Key Points

References and Further Reading

Exercises

CHAPTER 2. Digital Imaging Processing Systems

2.1 Digital Imaging Systems Overview

2.2 Image Formation and Sensing

2.3 The CVIPtools Software Environment

2.4 Image Representation

2.5 Key Points

References and Further Reading

Exercises

II. DIGITAL IMAGE ANALYSIS AND COMPUTER VISION

CHAPTER 3. Introduction to Digital Image Analysis

3.1 Introduction

3.2 Preprocessing

3.3 Binary Image Analysis

3.4 Key Points

References and Further Reading

Exercises

CHAPTER 4. Segmentation and Edge/Line Detection

4.1 Introduction and Overview

4.2 Edge/Line Detection

4.3 Segmentation

4.4 Key Points

References and Further Reading

Exercises

CHAPTER 5. Discrete Transforms

5.1 Introduction and Overview

5.2 Fourier Transform

5.3. Discrete Cosine Transform

5.4. Discrete Walsh-Hadamard Transform

5.5. Discrete Haar Transform

5.6 Principal Components Transform

5.7 Filtering

5.8 Discrete Wavelet Transform

5.9 Key Points

References and Further Reading

Exercises

CHAPTER 6. Feature Analysis and Pattern Classification

6.1 Introduction and Overview

6.2 Feature Extraction

6.3 Feature Analysis

6.4 Pattern Classification

6.5 Key Points

References and Further Reading

Exercises

III. DIGITAL IMAGE PROCESSING AND HUMAN VISION

CHAPTER 7. Digital Image Processing and Visual Perception

7.1 Introduction and Overview

7.2 Human Visual Perception

7.3 Image Fidelity Criteria

7.4 Key Points

References and Further Reading

Exercises

CHAPTER 8. Image Enhancement

8.1 Introduction and Overview

8.2 Gray Scale Modification

8.3 Image Sharpening:

8.4 Image Smoothing:

8.5 Key Points

References and Further Reading

Exercises

Digital image processing 3rd edition instructor manual free

CHAPTER 9. Image Restoration and Reconstruction

9.1 Introduction and Overview

9.2 Noise Models

9.3 Noise Removal Using Spatial Filters

9.4 The Degradation Function

9.5 Frequency Domain Restoration Filters

9.6 Geometric Transforms

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9.7 Image Reconstruction

9.7 Key Points

References and Further Reading

Exercises

CHAPTER 10. Image Compression

10.1 Introduction and Overview

10.2 Lossless Compression Methods

10.3 Lossy Compression Methods

10.4 Key Points

References and Further Reading

Exercises

IV. APPLICATION DEVELOPMENT WITH THE MATLAB CVIP TOOLBOX AND CVIPTOOLS

CHAPTER 11. MATLAB CVIP Toolbox and CVIPlab

11.1 The MATLAB CVIP Toolbox

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11.2 CVIPlab for MATLAB

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11.3 CVIPlab for C Programming

11.4 CVIP Projects

References and Further Reading

CHAPTER 12. Application Development

12.1 Introduction and Overview

12.2 CVIP Algorithm Test and Analysis Tool

12.3 CVIP Feature Extraction and Pattern Classification Tool

12.4 Automatic Creation of Masks for Veterinary Thermographic Images with Matlab CVIP Toolbox

12.5 Thermographic Image Analysis for Detection of Anterior Cruciate Ligament Rupture in Canines

12.6 Thermographic Image Analysis for the Detection of Canine Bone Cancer

12.7 A New Algorithm for Blood Vessel Segmentation in Retinal Images Developed with CVIP-ATAT

12.8 Automatic Mask Creation and Feature Analysis for Detection IVDD in Canines

12.9 Skin Lesion Classification Using Relative Color Features

12.10 Automatic Segmentation of Blood Vessels in Retinal Images

12.11 Classification of Land from Satellite Images Using Quadratic Discriminant Analysis and Multilayer Perceptron

12.12 Watershed-based Approach to Skin Lesion Border Segmentation

12.13 Faint Line Defect Detection in Microdisplay (CCD) Elements

12.14 Melanoma and Seborrheic Keratosis Differentiation Using Texture Features

12.15 Compression of Color Skin Tumor Images with Vector Quantization Cara mercari background pada folder windows 7 tanpa software programs download.

12.16 Embedded Application: Image Sensor Power Requirements for Vole Detection Application with CVIPtools and OpenCV

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12.17 Gabor Filters for Pathology Classification in Veterinary Thermograms

12.18 Thermography Based Prescreening Software Tool for Veterinary Clinics

V. APPENDICES

A. Installing and Updating CVIPtools

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B. Installing and Updating the Matlab CVIP Toolbox

C. CVIPtools Software Organization

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D. CVIPtools C function List

E. Common Object Module (COM) Function List – cviptools.dll

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F. Matlab CVIP Toolbox Functions