TY - BOOK AU - Sundararajan,D. TI - Digital Image Processing: A Signal Processing and Algorithmic Approach SN - 9789811061134 AV - TA1630-1650 U1 - 006.6 23 PY - 2017/// CY - Singapore PB - Springer Singapore, Imprint: Springer KW - Optical data processing KW - Artificial intelligence KW - Signal processing KW - Image processing KW - Speech processing systems KW - Control engineering KW - Robotics KW - Mechatronics KW - Radiology KW - Image Processing and Computer Vision KW - Artificial Intelligence KW - Signal, Image and Speech Processing KW - Control, Robotics, Mechatronics KW - Imaging / Radiology N1 - Chapter 1. Introduction -- Chapter 2. Image Enhancement in the Spatial Domain -- Chapter 3. Fourier Analysis -- Chapter 4. Image Enhancement in the Frequency Domain -- Chapter 5. Image Restoration -- Chapter 6. Geometric Transformations and Image Registration -- Chapter 7. Image Reconstruction from Projections -- Chapter 8. Morphological Image Processing -- Chapter 9. Edge Detection -- Chapter 10. Segmentation -- Chapter 11. Object Description -- Chapter 12. Object Classification -- Chapter 13. Image Compression -- Chapter 14. Color Image Processing N2 - This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing UR - https://doi.org/10.1007/978-981-10-6113-4 ER -