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A computational introduction to digital image processing /
Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly eleme...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
Taylor & Francis Group, CRC Press,
2016.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a McAndrew, Alasdair. | |
| 245 | 1 | 2 | |a A computational introduction to digital image processing / |c Alasdair McAndrew, Victoria University, Melbourne Australia. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Boca Raton : |b Taylor & Francis Group, CRC Press, |c 2016. | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource : |b text file, PDF | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 504 | |a Includes bibliographical references (pages 525-527) and index. | ||
| 505 | 0 | |a Machine generated contents note: 1. Introduction -- 1.1. Images and Pictures -- 1.2. What Is Image Processing? -- 1.3. Image Acquisition and Sampling -- 1.4. Images and Digital Images -- 1.5. Some Applications -- 1.6. Image Processing Operations -- 1.7. An Image Processing Task -- 1.8. Types of Digital Images -- 1.9. Image File Sizes -- 1.10. Image Perception -- Exercises -- 2. Images Files and File Types -- 2.1. Opening and Viewing Grayscale Images -- 2.2. RGB Images -- 2.3. Indexed Color Images -- 2.4. Numeric Types and Conversions -- 2.5. Image Files and Formats -- 2.6. Programs -- Exercises -- 3. Image Display -- 3.1. Introduction -- 3.2. The imshow Function -- 3.3. Bit Planes -- 3.4. Spatial Resolution -- 3.5. Quantization and Dithering -- 3.6. Programs -- Exercises -- 4. Point Processing -- 4.1. Introduction -- 4.2. Arithmetic Operations -- 4.3. Histograms -- 4.4. Lookup Tables -- Exercises -- 5. Neighborhood Processing -- 5.1. Introduction -- 5.2. Notation -- 5.3. Filtering in MATLAB and Octave. | |
| 505 | 0 | |a Note continued: 5.4. Filtering in Python -- 5.5. Frequencies; Low and High Pass Filters -- 5.6. Gaussian Filters -- 5.7. Edge Sharpening -- 5.8. Non-Linear Filters -- 5.9. Edge-Preserving Blurring Filters -- 5.10. Region of Interest Processing -- 5.11. Programs -- Exercises -- 6. Image Geometry -- 6.1. Interpolation of Data -- 6.2. Image Interpolation -- 6.3. General Interpolation -- 6.4. Enlargement by Spatial Filtering -- 6.5. Scaling Smaller -- 6.6. Rotation -- 6.7. Correcting Image Distortion -- Exercises -- 7. The Fourier Transform -- 7.1. Introduction -- 7.2. Background -- 7.3. The One-Dimensional Discrete Fourier Transform -- 7.4. Properties of the One-Dimensional DFT -- 7.5. The Two-Dimensional DFT -- 7.6. Experimenting with Fourier Transforms -- 7.7. Fourier Transforms of Synthetic Images -- 7.8. Filtering in the Frequency Domain -- 7.9. Homomorphic Filtering -- 7.10. Programs -- Exercises -- 8. Image Restoration -- 8.1. Introduction -- 8.2. Noise -- 8.3. Cleaning Salt and Pepper Noise. | |
| 505 | 0 | |a Note continued: 8.4. Cleaning Gaussian Noise -- 8.5. Removal of Periodic Noise -- 8.6. Inverse -- 8.7. Wiener Filtering -- Exercises -- 9. Image Segmentation -- 9.1. Introduction -- 9.2. Thresholding -- 9.3. Applications of Thresholding -- 9.4. Choosing an Appropriate Threshold Value -- 9.5. Adaptive Thresholding -- 9.6. Edge Detection -- 9.7. Derivatives and Edges -- 9.8. Second Derivatives -- 9.9. The Canny Edge Detector -- 9.10. Corner Detection -- 9.11. The Hough and Radon Transforms -- Exercises -- 10. Mathematical Morphology -- 10.1. Introduction -- 10.2. Basic Ideas -- 10.3. Dilation and Erosion -- 10.4. Opening and Closing -- 10.5. The Hit-or-Miss Transform -- 10.6. Some Morphological Algorithms -- 10.7.A Note on the bwmorph Function in MATLAB and Octave -- 10.8. Grayscale Morphology -- 10.9. Applications of Grayscale Morphology -- 10.10. Programs -- Exercises -- 11. Image Topology -- 11.1. Introduction -- 11.2. Neighbors and Adjacency -- 11.3. Paths and Components. | |
| 505 | 0 | |a Note continued: 11.4. Equivalence Relations -- 11.5.Component Labeling -- 11.6. Lookup Tables -- 11.7. Distances and Metrics -- 11.8. Skeletonization -- 11.9. Programs -- Exercises -- 12. Shapes and Boundaries -- 12.1. Introduction -- 12.2. Chain Codes and Shape Numbers -- 12.3. Fourier Descriptors -- Exercises -- 13. Color Processing -- 13.1. What Is Color? -- 13.2. Color Models -- 13.3. Manipulating Color Images -- 13.4. Pseudocoloring -- 13.5. Processing of Color Images -- 13.6. Programs -- Exercises -- 14. Image Coding and Compression -- 14.1. Lossless and Lossy Compression -- 14.2. Huffman Coding -- 14.3. Run Length Encoding -- 14.4. Dictionary Coding: LZW Compression -- 14.5. The JPEG Algorithm -- 14.6. Programs -- Exercises -- 15. Wavelets -- 15.1. Waves and Wavelets -- 15.2.A Simple Wavelet: The Haar Wavelet -- 15.3. Wavelets and Images -- 15.4. The Daubechies Wavelets -- 15.5. Image Compression Using Wavelets -- 15.6. High Pass Filtering Using Wavelets -- 15.7. Denoising Using Wavelets. | |
| 505 | 0 | |a Note continued: Exercises -- 16. Special Effects -- 16.1. Polar Coordinates -- 16.2. Ripple Effects -- 16.3. General Distortion Effects -- 16.4. Pixel Effects -- 16.5. Color Images -- Exercises -- A. Introduction to MATLAB and Octave -- A.1. Introduction -- A.2. Basic Use -- A.3. Variables and the Workspace -- A.4. Dealing with Matrices -- A.5. Plots -- A.6. Online Help -- A.7. Programming -- Exercises -- B. Introduction to Python -- B.1. Basic Use -- B.2. Arrays -- B.3. Graphics and Plots -- B.4. Programming -- C. The Fast Fourier Transform. | |
| 520 | 3 | |a Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 650 | 0 | |a Image processing |x Digital techniques |x Mathematics. | |
| 650 | 6 | |a Traitement d'images |x Techniques numériques |x Mathématiques. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Imaging Systems. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Graphic Methods. |2 bisacsh | |
| 650 | 7 | |a Image processing |x Digital techniques |x Mathematics |2 fast | |
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