07635nam a2200781 i 4500 9780750359696 IOP 20251030124833.0 m eo d cr cn |||m|||a 241213s2024 enka fob 000 0 eng d 9780750359696 ebook 9780750359689 mobi 9780750359672 print 9780750359702 myPrint 10.1088/978-0-7503-5969-6 doi (CaBNVSL)thg00084075 (OCoLC)1478800743 CaBNVSL eng rda CaBNVSL CaBNVSL TA16374b.T553 2024eb UYT bicssc COM012050 bisacsh Thiruvikraman, P. K., author. 97125 A course on digital image processing with MATLAB / P.K. Thiruvikraman. Second edition. Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2024] 1 online resource (various pagings) : illustrations (some color). text rdacontent electronic isbdmedia online resource rdacarrier [IOP release $release] IOP ebooks. [2024 collection] "Version: 20241101"--Title page verso. Includes bibliographical references. 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 MATLABª -- 9.1. Introduction -- 9.2. Help with MATLABª -- 9.3. Variables -- 9.4. Mathematical operations -- 9.5. Loops and control statements -- 9.6. Built-in MATLABª functions -- 9.7. Some more useful MATLABª commands and programming practices -- 9.8. Functions 10. The image processing toolbox -- 10.1. Introduction -- 10.2. Reading from an image file and writing into 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 -- 10.10. Using the MATLAB AI chat playground to generate MATLAB code -- 10.11. Exercises 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 -- 11.5. Exercises 12. Applications of machine learning -- 12.1. Linear discriminant analysis -- 12.2. Clustering using the k-means algorithm -- 12.3. K nearest neighbours -- 12.4. Artificial neural networks -- 12.5. Multilayer feedforward neural networks -- 12.6. Matrix formulation of ANNs -- 12.7. Back propagation for training neural networks 13. Error correcting codes and cryptography -- 13.1. Mutual information and channel capacity -- 13.2. Linear codes -- 13.3. Decoding linear codes -- 13.4. Cyclic codes -- 13.5. Galois fields -- 13.6. Cryptography -- 13.7. Encryption techniques -- 13.8. Public key cryptography -- 14. Solutions to selected exercises. Full-text restricted to subscribers or individual document purchasers. Digital imaging is now ubiquitous, from the smart phone in your pocket to state-of-the-art medical imaging and satellite imagery. Raw imaging data can be manipulated using computer algorithms to perform a range of functions from reducing noise to complex image analysis and pattern and object recognition. The result is that digital image processing has applications in almost all areas of science and engineering. Designed for a one semester course, the aim of this book is to concentrate on the principles and techniques of image processing. This second edition includes important updates to the first edition, as well as two entirely new chapters, making the book ideal for advanced students in physics and engineering. Professional and scholarly. Also available in print. Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. P.K. Thiruvikraman is a professor of physics at the Birla Institute of Technology & Science with a research interest in Digital Image Processing, Pattern Recognition / Machine Vision and Coding Theory. The author has been teaching at BITS Pilani for the last 20 years. He has taught Digital Image Processing for more than a decade. Title from PDF title page (viewed on December 13, 2024). MATLAB. 95171 Image processing Digital techniques. 64228 Image processing. bicssc COMPUTERS / Image Processing. bisacsh 97126 Institute of Physics (Great Britain), publisher. 17702 Print version: 9780750359672 9780750359702 IOP (Series). Release 24. IOP ebooks. 2024 collection. https://iopscience.iop.org/book/mono/978-0-7503-5969-6 E-Books 68522 68522