UID:
almahu_9948342719402882
Umfang:
1 online resource (various pagings) :
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illustrations (some color).
ISBN:
9780750326049
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9780750326032
Serie:
IOP ebooks. [2020 collection]
Inhalt:
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 subject, and computer packages such as MATLAB facilitate this without the need to learn more complex programming languages. Whilst two chapters are devoted to the MATLAB programming environment and the image processing toolbox, the use of image processing algorithms using MATLAB is emphasised throughout the book, and every chapter is accompanied by a collection of exercises and programming assignments. Including coverage of colour and video image processing as well as object recognition, the book is augmented with supplementary MATLAB code and hints and solutions to problems are also provided.
Anmerkung:
"Version: 20191101"--Title page verso.
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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
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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
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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
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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
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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
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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
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7. Wavelets -- 7.1. Wavelets versus the Fourier transform -- 7.2. The Haar wavelet transform -- 7.3. An alternative view of wavelets
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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
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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
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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
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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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Also available in print.
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Mode of access: World Wide Web.
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System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Weitere Ausg.:
Print version: ISBN 9780750326025
Sprache:
Englisch
DOI:
10.1088/978-0-7503-2604-9
URL:
https://iopscience.iop.org/book/978-0-7503-2604-9
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