A course on digital image processing with MATLAB /

Concentrating on the principles and techniques of image processing, this book provides an in-depth presentation of key topics, including many techniques not included in introductory texts. Practical implementation of the various image processing algorithms is an important step in learning the subjec...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Thiruvikraman, P. K. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2020]
Colección:IOP ebooks. 2020 collection.
Temas:
MATLAB.
Image processing > Digital techniques.
Image processing.
COMPUTERS / Image Processing.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction
  • 1.1. The scope and importance of digital image processing
  • 1.2. Images
  • 1.3. Digital images
  • 1.4. Processes involved in image processing and recognition
  • 1.5. Applications of image processing
  • 2. Image enhancement in the spatial domain
  • 2.1. Enhancement of contrast
  • 2.2. Gray level transformations
  • 2.3. Bit plane slicing
  • 2.4. Histogram processing
  • 2.5. Filtering in the spatial domain
  • 2.6. Sharpening in the spatial domain
  • 3. Filtering in the Fourier domain
  • 3.1. From the Fourier series to the Fourier transform
  • 3.2. Meaning of the Fourier transform
  • 3.3. The impulse function
  • 3.4. Fourier transform of a train of impulses
  • 3.5. The convolution theorem
  • 3.6. The discrete Fourier transform (DFT)
  • 3.7. Additional properties of the DFT
  • 3.8. Filtering in the Fourier domain
  • 3.9. Low-pass filters
  • 3.10. Other low-pass filters
  • 3.11. High-pass filters
  • 3.12. The FFT
  • 3.13. Comparison of the FFT with convolution
  • 4. Image compression
  • 4.1. Basics of image compression
  • 4.2. Basics of coding theory
  • 4.3. Uniquely decodable codes (UDCs), instantaneously decodable codes (IDCs), and all that
  • 4.4. Kraft's inequality
  • 4.5. Efficiency of instantaneous codes
  • 4.6. Information theory
  • 4.7. Huffman coding : algorithm
  • 4.8. Huffman coding : implementation
  • 4.9. Nearly optimal codes
  • 4.10. Reducing interpixel redundancy : run-length coding
  • 4.11. LZW coding
  • 4.12. Arithmetic coding
  • 4.13. Transform coding
  • 5. Image analysis and object recognition
  • 5.1. Image analysis
  • 5.2. Detection of points and lines
  • 5.3. The Hough transform
  • 5.4. Segmentation : edge detection
  • 5.5. Thresholding
  • 5.6. A global view of image analysis and pattern recognition
  • 5.7. Representation of objects
  • 5.8. Texture
  • 5.9. Skeletonization or medial axis transformation (MAT)
  • 5.10. Principal component analysis (PCA)
  • 5.11. Pattern recognition
  • 6. Image restoration
  • 6.1. Analyzing motion blur
  • 6.2. Inverse filtering
  • 6.3. Noise
  • 6.4. Removal of noise by morphological operations
  • 6.5. Alternative method for extracting and labeling connected components
  • 6.6. Image reconstruction from projections
  • 7. Wavelets
  • 7.1. Wavelets versus the Fourier transform
  • 7.2. The Haar wavelet transform
  • 7.3. An alternative view of wavelets
  • 8. Color image processing
  • 8.1. The RGB color model
  • 8.2. The CMY and CMYK color models
  • 8.3. The hue, saturation, and intensity (HSI) color model
  • 9. Introduction to MATLAB
  • 9.1. Introduction
  • 9.2. Help with MATLAB
  • 9.3. Variables
  • 9.4. Mathematical operations
  • 9.5. Loops and control statements
  • 9.6. Built-in MATLAB functions
  • 9.7. Some more useful MATLAB commands and programming practices
  • 9.8. Functions
  • 10. The image processing toolbox
  • 10.1. Introduction
  • 10.2. Reading from an image file and writing to an image file
  • 10.3. Fourier domain processing
  • 10.4. Calculation of entropy
  • 10.5. Huffman code
  • 10.6. Arithmetic code
  • 10.7. Segmentation
  • 10.8. Hough transform
  • 10.9. Some common error messages in MATLAB
  • 11. Video processing
  • 11.1. Introduction
  • 11.2. Extracting frames from a video
  • 11.3. Video compression
  • 11.4. Detection and analysis of motion : optical flows
  • 12. Solutions to selected exercises.

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